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== Euraxess Offers ==
== Euraxess Offers ==


=== [https://euraxess.ec.europa.eu/jobs/471470 10 ESR Marie Sklodowska-Curie positions available- ENHAnCE ITN project (# of pos: 10)] ===
; Organization : “Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) H2020-MSCA-ITN-2019-859967
; Research Field : Engineering › Aerospace engineering, Engineering › Control engineering, Engineering › Materials engineering, Engineering › Mechanical engineering, Mathematics › Algorithms, Mathematics › Applied mathematics, Mathematics › Statistics, Physics › Applied physics
; Researcher Profile : <nowiki>First Stage Researcher (R1)</nowiki>
; Deadline : 15/03/2020 17:00 - Europe/Brussels
; Location : Spain
; Type Of Contract : Temporary
; Hours Per Week : 40
; Job Status : Full-time
; Requirements
:; Education Level : Engineering: Master Degree or equivalent:; Languages : ENGLISH: Excellent
See [https://euraxess.ec.europa.eu/jobs/471470 the offer] on Euraxess website.
    <p></p><p dir="ltr">[https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodowska-curie-actions The Marie Skłodowska-Curie Actions] Innovative Training Network (H2020-MSCA-ITN-2019-859957) “Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) invites applications for 10 early-stage research (ESR) positions available with a <strong>starting date in the interval June 1st –Sept 1st 2020</strong> for a period of three years. ENHAnCE will be based on 9 partner beneficiaries and 6 partner organisations involving universities, research organisations, government agencies and industries, and will perform cutting edge research and training in the field of intelligent prognostics of composite structures satisfying all Principles for Innovative Doctoral Training. The ENHAnCE Consortium, led by Dr. Manuel Chiachío Ruano (University of Granada, Spain) as coordinator, is based on an international, inter-sectorial network based on institutions from 9 countries: Spain, United Kingdom, Germany, Belgium, France, Italy, The Netherlands, Poland and Brazil. More information about the network can be found at ENHAnCE Website (coming soon).</p>
<p dir="ltr"> </p>
<p dir="ltr">The ENHAnCE project provides research and training opportunities for early-stage researchers in the fields of Prognostics and Health Management (PHM), structural health monitoring (SHM), Non-Destructive Evaluation (NDE), Maintenance Modelling, Damage Modelling, Manufacturing Engineering and Smart Structures. Research within the network encompasses a number of disciplines like structural engineering, mathematics &amp; physics, materials &amp; manufacturing engineering, electrical and electronic engineering, aeronautical engineering, mechanical engineering, and computer science.</p>
<p dir="ltr"> </p>
<p dir="ltr">The aim of the research programme is to provide the ESRs with the practical skills and knowledge so that they can perform top-level research, both in the academic and non-academic sectors. In addition, inter-sectorial collaboration is promoted through short-term secondments between academic and non-academic participants. All ESRs will also have the opportunity to enroll for a PhD degree. </p>
<p dir="ltr">A description of the individual projects associated to each ESR position is given below:</p>
<ul dir="ltr"><li>ESR1 (Reliable sensor networks for Structural Health Monitoring (SHM) systems in highly loaded composite structures). Position details:
<ol><li>Main Supervisor: Prof. Peter Wierach (DLR)</li>
<li>Email for informal inquiries: [mailto:peter.wierach@dlr.de peter.wierach@dlr.de]</li>
<li>Work Location: Institute of Composite Structures and Adaptive Systems. German Aerospace Center (DRL), Braunschweig, (Germany)</li>
<li>Specific requirements: Master or Equivalent degree in Mechanical Engineering or equivalent degree.</li>
</ol></li>
</ul><p dir="ltr"> </p>
<ul dir="ltr"><li>ESR2 (Virtual Laboratory for Modelling and Optimisation of Manufacturing of Composites Structures with embedded structural health monitoring systems). Position details:
<ol><li>Main Supervisor: Ir. David Dumas (Cenaero ABSL)</li>
<li>Email for informal inquiries: [mailto:david.dumas@cenaero.be david.dumas@cenaero.be]</li>
<li>Work Location: Polymer Processes and Composites Lab. (Cenaero ASBL), Gosselies, (Belgium)</li>
<li>Specific requirements: Master or Equivalent degree in Mechanical engineering with affinity/background in material science and computer science</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR3 (Model Development and Associated Simulation Tool Based on a Modal Hybrid Method for Smart FRP Composite Structures with AU-SHM sensors). Position details:
<ol><li>Main Supervisor: Prof. Alain Lhémery (Director of Research, CEA LIST)</li>
<li>Email for informal inquiries: [mailto:alain.lhemery@cea.fr alain.lhemery@cea.fr]</li>
<li>Work Location: NDE Department (CEA LIST), Gif-sur-Yvette, (France)</li>
<li>Specific requirements: Master or Equivalent degree in Mechanical Engineering, Applied Mathematics</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR4 (Novel procedure for designing, manufacturing and assembling smart composite wind turbine blades with embedded AU-SHM sensors). Position details:
<ol><li>Main Supervisor: Dr. María Rodríguez Gude (FIDAMC)</li>
<li>Email for informal inquiries:  [mailto:maria.r.rodriguez@fidamc.es maria.r.rodriguez@fidamc.es]</li>
<li>Work Location: Laboratory, (FIDAMC), Getafe, Madrid (Spain)</li>
<li>Specific requirements:  Master or Equivalent degree in Engineering or Applied Physics, background in materials and computer science. Previous experience in acoustic sensors, composite materials, numerical modelling (e.g. using MATLAB) and/or multiphysics simulation would be highly valuable.</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR5 (Prognostic signatures based on data-fusion techniques from Lamb-wave and acoustic emission in real-world FRP laminates subjected to random fatigue damage). Position details:
<ol><li>Main Supervisor: Dr. Dimitrios Zarouchas (TU Delft)</li>
<li>Email for informal inquiries: [mailto:d.zarouchas@tudelft.nl d.zarouchas@tudelft.nl]</li>
<li>Work Location: Department of Aerospace Structures and Materials (Delft University of Technology), Delft, (The Netherlands)</li>
<li>Specific requirements: Master degree in Aerospace/Aeronautics Engineering or Mechanical Engineering with solid background on mechanics of composite materials and experimental mechanics. A combination of strong mathematical/analytical skills and advanced programming skills is required. Understanding of the principles of structural health monitoring techniques such as Acoustic Emission, Lamb waves.</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR6 (Development of fast Bayesian algorithms for real-time prognostics of composite structures based on structural health information). Position details:
<ol><li>Main Supervisor: Dr. Claudio Sbarufatti (POLIMI)</li>
<li>Email for informal inquiries: [mailto:claudio.sbarufatti@polimi.it claudio.sbarufatti@polimi.it]</li>
<li>Work Location: Department of Mechanical Engineering (Politecnico di Milano), Milan, (Italy)</li>
<li>Specific requirements: Master or Equivalent degree in Mechanical Engineering, Aerospace Engineering, Industrial Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management.</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR7 (Development of a System-Level Post-Prognostics Reasoner for FRP turbine blades using on-board SHM). Position details:
<ol><li>Main Supervisor: Prof. Athanasios Kolios (University of Strathclyde)</li>
<li>Email for informal inquiries: [mailto:athanasios.kolios@strath.ac.uk athanasios.kolios@strath.ac.uk]</li>
<li>Work Location: Department of Naval Architecture, Ocean and Marine Engineering, (University of Strathclyde), Glasgow, (Scotland, UK)</li>
<li>Specific requirements: Master or Equivalent degree in Engineering (ie Mechanical, Electrical, Structural, Civil)</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR8 (Modelling risk of failure using guided wave propagation and interaction with damage in complex composite structures). Position details:
<ol><li>Main Supervisor: Dr. Dimitrios Chronopoulos (University of Nottingham)</li>
<li>Email for informal inquiries: [mailto:dimitrios.chronopoulos@nottingham.ac.uk dimitrios.chronopoulos@nottingham.ac.uk]</li>
<li>Work Location: Aerospace Technology Centre, (University of Nottingham), Nottingham, (England, UK)</li>
<li>Specific requirements: Master or Equivalent degree in Engineering or Applied Mathematics/Physics</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR9 (A Paradigm-Shift Research for System-Level Real-Time Prognostics of Cyber-Physical Assets using Deep Learning approaches). Position details:
<ol><li>Main Supervisor: Dr. Juan Chiachío Ruano (University of Granada)</li>
<li>Email for informal inquiries: [mailto:jchiachio@ugr.es jchiachio@ugr.es]</li>
<li>Work Location: Dept. Structural Mechanics &amp; Hydraulics Engineering, (University of Granada), Granada (Spain)</li>
<li>Specific requirements: Master degree in Structural Engineering, Applied Mathematics, Mechanical Engineering, Aeronautical Engineering, Naval &amp; Oceanic Engineering, Civil Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management (PHM).</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR10 (Development of a prognostics-based self-adaptive Expert System for smart Composite Structures). Position details:
<ol><li>Main Supervisor: Dr. Manuel Chiachío Ruano (University of Granada)</li>
<li>Email for informal inquiries: [mailto:mchiachio@ugr.es mchiachio@ugr.es]</li>
<li>Work Location: Dept. Structural Mechanics &amp; Hydraulics Engineering, (University of Granada), Granada (Spain)</li>
<li>Specific requirements: Master degree in Structural Engineering, Applied Mathematics, Mechanical Engineering, Aeronautical Engineering, Naval &amp; Oceanic Engineering, Civil Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management (PHM).</li>
</ol></li>
</ul><p> </p>
<p> </p>
<ul dir="ltr"></ul><p></p>
 
=== [https://euraxess.ec.europa.eu/jobs/486811 CINBIO20-10. 3 RECOGNIZED RESEARCHERS, PI JUNIOR (# of pos: 3)] ===
; Organization : Universidade de Vigo
; Research Field : Biological sciences › Other
; Researcher Profile : <nowiki>Recognised Researcher (R2)</nowiki>
; Deadline : 28/02/2020 10:00 - Europe/Brussels
; Location : Spain
; Type Of Contract : Temporary
; Hours Per Week : 40
; Job Status : Full-time
See [https://euraxess.ec.europa.eu/jobs/486811 the offer] on Euraxess website.
    <p></p><p>CINBIO aims at generating first class science; training in values of excellence and make returns to the society, under a multidisciplinary approach. It is working on basic, applied and clinical research, to address prevention, diagnosis and therapy in Biomedicine.</p>
<p>We are opening a new strategic roadmap with four main strategic areas:</p>
<p>Molecular medicine / Nutrition and Wellness / Nanomaterials / Bio-statistics and Health informatics and intelligent systems. There are 14 research leaders in the areas of Applied Physics / Biomass and Sustainable Development / Analytical &amp; Food Chemistry –Biotoxins- / Colloid Chemistry and Nanophotonics / Magnetic Materials / Nanocatalysis and biosensors / Organic Chemistry / Neuroscience / Endocrinology / Rare Diseases/ Immunology / Evolutionary and Biomedical Genomics / Next Generation Computer Systems / Biostatistics and Epidemiology.</p>
<p><strong>Profile:</strong> The Biomedical Research Center (CINBIO) offers <strong>up to 3 full-time positions REC</strong><strong>OGNIZED RESEARCHERS, PI JUNIOR</strong><strong>. </strong></p>
<p> </p>
<p><strong>Requested: </strong>Candidates must have postdoctoral research experience with a very good publication track record. CINBIO wants to attract and retain young talent to further develop its strategic lines of research.</p>
<p><strong>Skills: </strong></p>
<ul><li>Willing to build up on our strengths, and driven to become PIs established researchers in 1-2 years time.</li>
<li>Able to lead in executing collaborative research projects in cooperation with colleagues and project partners.</li>
<li>Publishes in high impact journals with a relevant role.</li>
<li>Committed to professional development of his/her own career and acts as mentor for PhD and Master students.</li>
</ul><p> </p>
<p></p>
 
=== [https://euraxess.ec.europa.eu/jobs/483026 Artificial Intelligence to Accelerate Battery Cell Manufacturing and Design. Co-shared PhD position... (# of pos: 2)] ===
; Organization : Laboratoire de Réactivité et Chimie des Solides - UMR CNRS 7314; Université de Picardie Jules Verne
; Research Field : Other, Technology › Energy technology
; Researcher Profile : <nowiki>First Stage Researcher (R1)</nowiki>
; Deadline : 31/03/2020 23:00 - Europe/Brussels
; Location : France
; Type Of Contract : Temporary
; Hours Per Week : 35
; Job Status : Full-time
; Requirements
:; Education Level : Engineering: Master Degree or equivalent:; Languages : ENGLISH: Excellent
See [https://euraxess.ec.europa.eu/jobs/483026 the offer] on Euraxess website.
    <p></p><p><u>Project details</u>:</p>
<p>The optimization of advanced Lithium Ion Battery (LIB) manufacturing and cell design remains a challenging multi-variable task, subject to constraints like the desired final performance, the availability of raw materials, the cost, the safety, the environmental impact and the recyclability. The roadmap of the large scale European initiative Battery 2030+ highlights these issues and proposes research actions which aims at revolutionizing the way we conceive batteries today. Among them, the use of <strong>Artificial Intelligence</strong> (AI) tools to carry out inverse design of materials interfaces is recognized as of paramount importance. The main objective of this PhD is to use AI to unravel interdependencies between manufacturing parameters, electrode properties, cell design and performance and using these algorithms for inverse design in the battery field.</p>
<p>The main objective of this PhD is the development and demonstrate an <strong>innovative AI-driven platform</strong> able to carry out two complementary tasks: 1) <strong>unravel interdependencies</strong> between battery manufacturing parameters and electrode properties, cell design and performance; 2) <strong>carry out inverse design</strong>, <em>i.e.</em> predicting needed electrode properties (<em>e.g.</em> porosity, loading) to reach a desired performance at the cell level, and predicting manufacturing parameters needed to achieve electrodes with such properties.</p>
<p><u>Specific Objective</u>:</p>
<ul><li>Set the database infrastructure from the batter characterization data available at LRCS and CIDETEC. Defining data and files standards.</li>
<li>Build and test AI models used to unravel interdependencies between the manufacturing parameters and the final electrode properties and cell design at different operating conditions.</li>
<li>Adapt AI to inverse design purposes.</li>
</ul><p><u>Supervisors</u>:</p>
<p>Academic supervisors: Prof. Alejandro A. Franco (LRCS) &amp; Mrs. Elixabete Ayerbe (CIDETEC)</p>
<p>Industrial supervisors: UMICORE’s data science group.</p>
<p><u>Additional information</u>:</p>
<p>The PhD candidate will be devoted 100% to the Big Data work. Experimental work will be carried out through other common projects between LRCS and CIDETEC. The work plan includes alternating work stays between LRCS (Amiens, France) and CIDETEC Energy Storage (Donostia-San Sebastian, Spain). The thesis expenses are covered by the ALISTORE-European Research Institute.</p>
<p><u>The hosting institutes</u>:</p>
<p>The Laboratoire de Réactivité et Chimie des Solides (LRCS) was founded in 1968 and is a mixed research unit of CNRS and Université de Picardie Jules Verne (Amiens, France). LRCS employs more than 100 people representing more than 25 nationalities. LRCS is located in the beautiful city of Amiens, France.</p>
<p>LRCS has a strong expertise on rechargeable battery technologies (lithium-ion batteries, lithium-air, sodium-ion, lithium sulfur, all-solid state batteries, redox flow batteries…) supported on deep expertise on materials synthesis and characterization, electrochemistry, multiscale computational techniques and artificial intelligence tools applied to battery research.</p>
<p>Additionally, LRCS is strongly involved in partnership-oriented research and interdisciplinarity, in particular in the context of the ALISTORE European Research Institute (ERI) (involving more than 10 countries and 20 laboratories) and at the French level through the RS2E network which gathers 17 laboratories, 15 industrial partners and 3 public institutions engaging in rechargeable batteries and supercacitors research. RS2E and ALISTORE-ERI were both founded by the lab’s former director, Prof. Jean-Marie Tarascon.</p>
<p>LRCS was/is involved in numerous European projects (FP7/H2020) such as EUROLIS, PUMA MIND, HELIS, POROUS4APP, NAIADES, SONAR...and it is hosting Prof. Alejandro A. Franco&#39;s ERC Consolidator project team (ARTISTIC). LRCS is strongly involved, through RS2E, in the core group of the Battery 2030+, the initiative for a long-term large-scale research program towards the European battery of the future.</p>
<p>A leading-edge fundamental research lab, LRCS also seeks to facilitate technology transfer to the industry through RS2E’s pre-transfer equipment (18650 batteries prototyping, safety, upscaling). LRCS is also working closely with companies (Renault, EDF, Solvay, Safran, Umicore…) to give its findings a chance to reach the market and hopefully… your daily life!</p>
<p>CIDETEC Energy Storage is specialised in creating new battery technologies according to specific challenges, and its ultimate transference to the industry. The institute has the capacity to develop complete products and processes and offers material validation, pilot manufacture, pack engineering and battery testing services. CIDETEC overall workforce consists of 180 employees, 95 % of whom are university graduates and 45 % PhD holders. Its volume of activity came up to € 13.1M in 2018. CIDETEC is located in the beautiful city of Donostia-San Sebastian, Spain.</p>
<p>CIDETEC Energy Storage involves up to 60 specialized researchers distributed into two technological units: Materials for Energy –approx. 2/3 of the workforce with a background of chemistry, electrochemistry and materials- and Systems Engineering - mainly electrical and mechanical engineers. As a result of this approach, CIDETEC Energy Storage cooperates closely with the industry in the context of bilateral, direct contract research and product development projects, both at the National and International level.</p>
<p>CIDETEC Energy Storage is heavily involved in the European batteries community, including several EU level platforms and associations where energy storage and its applications is at the core. We are active member in several industrial and research associations and platforms like the ETIP Batteries Europe, the European Battery Alliance (EBA), EGVIA, EARPA, EMIRI or EERA. In particular, Dr Oscar Miguel, Director of CIDETEC Energy Storage, was appointed Chairman of Working Group #4 on Cell design and Manufacturing within the recently launched ETIP Batteries Europe.</p>
<p>CIDETEC Energy Storage is also regular participant in H2020 European funded projects, frequently from the coordination of international consortia –currently CIDETEC Energy Storage is coordinator of iModBatt, iHeCoBatt, DEFACTO and E-Magic projects. We accumulate more than 15 participations in EU funded R+D battery projects under FP7 and H2020. Finally, CIDETEC Energy Storage is involved as well in the core team of BATTERY 2030+ and in ALISTORE-ERI.</p>
<p></p>
 
=== [https://euraxess.ec.europa.eu/jobs/498198 Project Manager Horizon 2020 Research and Innovation - Transport] ===
=== [https://euraxess.ec.europa.eu/jobs/498198 Project Manager Horizon 2020 Research and Innovation - Transport] ===


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<p></p>
<p></p>
    
    
=== [https://euraxess.ec.europa.eu/jobs/479571 PhD position in the field of acoustical engineering] ===
=== [https://euraxess.ec.europa.eu/jobs/483026 Artificial Intelligence to Accelerate Battery Cell Manufacturing and Design. Co-shared PhD position... (# of pos: 2)] ===


; Organization : Fraunhofer IWU
; Organization : Laboratoire de Réactivité et Chimie des Solides - UMR CNRS 7314; Université de Picardie Jules Verne
; Research Field : Engineering, Physics Acoustics, Technology
; Research Field : Other, Technology Energy technology
; Researcher Profile : <nowiki>First Stage Researcher (R1)</nowiki>
; Researcher Profile : <nowiki>First Stage Researcher (R1)</nowiki>
; Deadline : 28/02/2020 23:00 - Europe/London
; Deadline : 31/03/2020 23:00 - Europe/Brussels
; Location : Germany
; Location : France
; Type Of Contract : Temporary
; Type Of Contract : Temporary
; Hours Per Week : 35
; Job Status : Full-time
; Requirements
:; Education Level : Engineering: Master Degree or equivalent:; Languages : ENGLISH: Excellent


; Job Status : Negotiable
See [https://euraxess.ec.europa.eu/jobs/483026 the offer] on Euraxess website.


See [https://euraxess.ec.europa.eu/jobs/479571 the offer] on Euraxess website.
     <p></p><p><u>Project details</u>:</p>
 
<p>The optimization of advanced Lithium Ion Battery (LIB) manufacturing and cell design remains a challenging multi-variable task, subject to constraints like the desired final performance, the availability of raw materials, the cost, the safety, the environmental impact and the recyclability. The roadmap of the large scale European initiative Battery 2030+ highlights these issues and proposes research actions which aims at revolutionizing the way we conceive batteries today. Among them, the use of <strong>Artificial Intelligence</strong> (AI) tools to carry out inverse design of materials interfaces is recognized as of paramount importance. The main objective of this PhD is to use AI to unravel interdependencies between manufacturing parameters, electrode properties, cell design and performance and using these algorithms for inverse design in the battery field.</p>
     <p></p><p>You are enthusiastic about Noise, Vibration and Harshness in automotive engineering? So you might be the ideal candidate for our PhD position in the field of acoustical Engineering!</p>
<p>The main objective of this PhD is the development and demonstrate an <strong>innovative AI-driven platform</strong> able to carry out two complementary tasks: 1) <strong>unravel interdependencies</strong> between battery manufacturing parameters and electrode properties, cell design and performance; 2) <strong>carry out inverse design</strong>, <em>i.e.</em> predicting needed electrode properties (<em>e.g.</em> porosity, loading) to reach a desired performance at the cell level, and predicting manufacturing parameters needed to achieve electrodes with such properties.</p>
<p>The PhD position is part of the Marie Curie Training Network <em>ECO DRIVE</em> which is a European project running from March 2020 until February 2024. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 858018. The coordinator of the project is the Katholieke Universiteit Leuven in Belgium. The project consortium consists of four European universities, four industrial companies (two automotive OEMs) and one research organisation.</p>
<p><u>Specific Objective</u>:</p>
<p>Noise and vibration in eco-efficient (i.e. mostly electric) powertrains is at the core of the <em>ECO DRIVE</em> project. It offers a comprehensive, multi-disciplinary research and training programme to Early Stage Researchers (ESRs) to provide Europe with a new generation of NVH research engineers who have a talent and a passion for the automotive industry. The ESRs will combine basic scientific research (method development, concept solutions, experimental lab tests, etc.) with practical, industry-focused training (validation of methods and tools on powertrain test benches, in full vehicle, etc.). The project will be very dynamic, with an emphasis on ensuring ESRs gain maximum benefit from moving between the research organisations and the industry partners.</p>
<ul><li>Set the database infrastructure from the batter characterization data available at LRCS and CIDETEC. Defining data and files standards.</li>
<p>Within this project we are seeking an early‐stage researcher (ESR) <strong>for a duration of 36 months</strong> to join the Department of Acoustical Engineering at Fraunhofer IWU in Dresden. The earliest starting date is March 2020. The chosen candidate will be registered as a PhD student at KU Leuven&#39;s Noise and Vibration Research Group ([http://www.mech.kuleuven.be/mod www.mech.kuleuven.be/mod]) which is part of the Mechanical Engineering Department and is headed by Prof. Wim Desmet. <strong>The position includes secondments to Siemens Industry Software (Belgium) and Katholieke Universiteit Leuven (Belgium).</strong></p>
<li>Build and test AI models used to unravel interdependencies between the manufacturing parameters and the final electrode properties and cell design at different operating conditions.</li>
<p><strong>Acoustical Engineering at Fraunhofer IWU</strong></p>
<li>Adapt AI to inverse design purposes.</li>
<p> </p>
</ul><p><u>Supervisors</u>:</p>
<p>Fraunhofer IWU is an Institute of the Fraunhofer-Gesellschaft in Germany. The main research focus is on the development of intelligent production devices and the optimisation of related manufacturing processes. The Department of Acoustical Engineering has rich experience in the development of active and passive systems for noise and vibration control for a wide range of applications. Researchers are developing methodologies for prediction of acoustical phenomena in vehicles mostly for gearboxes and electrical drives. Simulation methods used cover noise excitation mechanisms and noise transfer within a system while taking into account subsystem interactions using multi-domain simulation approaches as well as data capture and analysis at bespoke test rigs.</p>
<p>Academic supervisors: Prof. Alejandro A. Franco (LRCS) &amp; Mrs. Elixabete Ayerbe (CIDETEC)</p>
<p><strong>Project Background</strong></p>
<p>Industrial supervisors: UMICORE’s data science group.</p>
<p> </p>
<p><u>Additional information</u>:</p>
<p>As manufacturers shift to vehicles that produce reduced levels of air pollution – with less particulate matter, nitrogen oxides and greenhouse gases – there are knock-on effects with respect to other forms of pollution, particularly noise pollution, which according to the World Health Organisation, comes second only to air pollution in its harmful effects and is responsible for hearing loss, learning problems in children and sleep disturbance. The problem is that attempts to reduce air pollution, e.g. by producing lightweight cars, often lead to increased levels of noise, due to complex mechano-acoustic effects. Also with electric vehicles (EVs), the absence of the damping effect of a large internal combustion (IC) engine means that intrusive sounds from other components create customer dissatisfaction and negatively affect people in close proximity to the vehicle. It is often wrongly assumed that EVs are silent; whereas in reality they create a great deal of high-frequency disturbance. To overcome some of the many challenges associated with these noise-related problems, the <em>ECO DRIVE</em> project will train 13 early-stage researchers (ESRs) in the testing and simulation of</p>
<p>The PhD candidate will be devoted 100% to the Big Data work. Experimental work will be carried out through other common projects between LRCS and CIDETEC. The work plan includes alternating work stays between LRCS (Amiens, France) and CIDETEC Energy Storage (Donostia-San Sebastian, Spain). The thesis expenses are covered by the ALISTORE-European Research Institute.</p>
<p>eco-friendly powertrains, helping them to address the complex challenges related to noise emission and sound perception associated with downsized IC engines, electric motors and hybrids that come from transmission-induced NVH (Noise, Vibration and Harshness) and drive line torsional vibrations. They will be working on brand new vehicle designs that maximise performance in terms of eco efficiency (i.e., gas emissions, fuel consumption, battery usage, etc.), power, NVH and, of course, cost.</p>
<p><u>The hosting institutes</u>:</p>
<p><strong>Vacancy description</strong></p>
<p>The Laboratoire de Réactivité et Chimie des Solides (LRCS) was founded in 1968 and is a mixed research unit of CNRS and Université de Picardie Jules Verne (Amiens, France). LRCS employs more than 100 people representing more than 25 nationalities. LRCS is located in the beautiful city of Amiens, France.</p>
<p> </p>
<p>LRCS has a strong expertise on rechargeable battery technologies (lithium-ion batteries, lithium-air, sodium-ion, lithium sulfur, all-solid state batteries, redox flow batteries…) supported on deep expertise on materials synthesis and characterization, electrochemistry, multiscale computational techniques and artificial intelligence tools applied to battery research.</p>
<p>The ESR PhD track at Fraunhofer IWU targets the simulation-based development of novel gearbox design concepts which are characterised by blending lightweight technologies and low noise emission levels. The ESR will evaluate the influence of lightweight construction approaches on gearbox acoustics by means of simulations. The downsizing of drive trains often leads to lighter and more flexible structures. The higher elasticity of the system’s components directly affects the existing gear mesh excitation and the transfer paths of the gearbox. For example, higher flexibilities of the housing, shafts and gear blanks cause a more misalignment in the tooth contacts which can lead to higher system excitation and to worse acoustic performance. <strong>The aim of this ESR project is to help identify the risks and capabilities of lightweight designs in terms of the gearbox’s acoustic performance using simulation-based sensitivity analyses and parameter studies.</strong> In addition to the investigation of lightweight construction techniques, new production technologies, for example the additive manufacturing of gear wheels by selective laser melting, as well as acoustically promising materials (e.g. foam structures or meta-materials) will be part of the analysis. The combination of different lightweight approaches will lead to new possible design concepts for gearboxes. The potential and risks of these cutting-edge designs will be benchmarked against the best current Systems.</p>
<p>Additionally, LRCS is strongly involved in partnership-oriented research and interdisciplinarity, in particular in the context of the ALISTORE European Research Institute (ERI) (involving more than 10 countries and 20 laboratories) and at the French level through the RS2E network which gathers 17 laboratories, 15 industrial partners and 3 public institutions engaging in rechargeable batteries and supercacitors research. RS2E and ALISTORE-ERI were both founded by the lab’s former director, Prof. Jean-Marie Tarascon.</p>
<p>LRCS was/is involved in numerous European projects (FP7/H2020) such as EUROLIS, PUMA MIND, HELIS, POROUS4APP, NAIADES, SONAR...and it is hosting Prof. Alejandro A. Franco&#39;s ERC Consolidator project team (ARTISTIC). LRCS is strongly involved, through RS2E, in the core group of the Battery 2030+, the initiative for a long-term large-scale research program towards the European battery of the future.</p>
<p>A leading-edge fundamental research lab, LRCS also seeks to facilitate technology transfer to the industry through RS2E’s pre-transfer equipment (18650 batteries prototyping, safety, upscaling). LRCS is also working closely with companies (Renault, EDF, Solvay, Safran, Umicore…) to give its findings a chance to reach the market and hopefully… your daily life!</p>
<p>CIDETEC Energy Storage is specialised in creating new battery technologies according to specific challenges, and its ultimate transference to the industry. The institute has the capacity to develop complete products and processes and offers material validation, pilot manufacture, pack engineering and battery testing services. CIDETEC overall workforce consists of 180 employees, 95 % of whom are university graduates and 45 % PhD holders. Its volume of activity came up to € 13.1M in 2018. CIDETEC is located in the beautiful city of Donostia-San Sebastian, Spain.</p>
<p>CIDETEC Energy Storage involves up to 60 specialized researchers distributed into two technological units: Materials for Energy –approx. 2/3 of the workforce with a background of chemistry, electrochemistry and materials- and Systems Engineering - mainly electrical and mechanical engineers. As a result of this approach, CIDETEC Energy Storage cooperates closely with the industry in the context of bilateral, direct contract research and product development projects, both at the National and International level.</p>
<p>CIDETEC Energy Storage is heavily involved in the European batteries community, including several EU level platforms and associations where energy storage and its applications is at the core. We are active member in several industrial and research associations and platforms like the ETIP Batteries Europe, the European Battery Alliance (EBA), EGVIA, EARPA, EMIRI or EERA. In particular, Dr Oscar Miguel, Director of CIDETEC Energy Storage, was appointed Chairman of Working Group #4 on Cell design and Manufacturing within the recently launched ETIP Batteries Europe.</p>
<p>CIDETEC Energy Storage is also regular participant in H2020 European funded projects, frequently from the coordination of international consortia –currently CIDETEC Energy Storage is coordinator of iModBatt, iHeCoBatt, DEFACTO and E-Magic projects. We accumulate more than 15 participations in EU funded R+D battery projects under FP7 and H2020. Finally, CIDETEC Energy Storage is involved as well in the core team of BATTERY 2030+ and in ALISTORE-ERI.</p>
<p></p>
<p></p>
    
    
=== [https://euraxess.ec.europa.eu/jobs/483265 PhD position in Groningen Cognitive Systems and Materials Center (1.0 FTE)] ===
=== [https://euraxess.ec.europa.eu/jobs/471470 10 ESR Marie Sklodowska-Curie positions available- ENHAnCE ITN project (# of pos: 10)] ===


; Organization : University of Groningen
; Organization : “Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) H2020-MSCA-ITN-2019-859967
; Research Field : Physics
; Research Field : Engineering › Aerospace engineering, Engineering › Control engineering, Engineering › Materials engineering, Engineering › Mechanical engineering, Mathematics › Algorithms, Mathematics › Applied mathematics, Mathematics › Statistics, Physics › Applied physics
; Researcher Profile : <nowiki>First Stage Researcher (R1)</nowiki>
; Researcher Profile : <nowiki>First Stage Researcher (R1)</nowiki>
; Deadline : 02/03/2020 00:00 - Europe/Brussels
; Deadline : 15/03/2020 17:00 - Europe/Brussels
; Location : Netherlands
; Location : Spain
; Type Of Contract : Temporary
; Type Of Contract : Temporary
; Hours Per Week : 38.0
; Hours Per Week : 40
; Job Status : Full-time
; Requirements
:; Education Level : Engineering: Master Degree or equivalent:; Languages : ENGLISH: Excellent


See [https://euraxess.ec.europa.eu/jobs/471470 the offer] on Euraxess website.


See [https://euraxess.ec.europa.eu/jobs/483265 the offer] on Euraxess website.
    <p></p><p dir="ltr">[https://ec.europa.eu/programmes/horizon2020/en/h2020-section/marie-sklodowska-curie-actions The Marie Skłodowska-Curie Actions] Innovative Training Network (H2020-MSCA-ITN-2019-859957) “Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) invites applications for 10 early-stage research (ESR) positions available with a <strong>starting date in the interval June 1st –Sept 1st 2020</strong> for a period of three years. ENHAnCE will be based on 9 partner beneficiaries and 6 partner organisations involving universities, research organisations, government agencies and industries, and will perform cutting edge research and training in the field of intelligent prognostics of composite structures satisfying all Principles for Innovative Doctoral Training. The ENHAnCE Consortium, led by Dr. Manuel Chiachío Ruano (University of Granada, Spain) as coordinator, is based on an international, inter-sectorial network based on institutions from 9 countries: Spain, United Kingdom, Germany, Belgium, France, Italy, The Netherlands, Poland and Brazil. More information about the network can be found at ENHAnCE Website (coming soon).</p>
 
<p dir="ltr"> </p>
    <p></p><p>We are looking for a motivated PhD candidate to work in an interdisciplinary environment under the supervision of Prof. Tamalika Banerjee at the Zernike Institute for Advanced Materials, University of Groningen, The Netherlands. The PhD programme entitled ‘Towards a cognitive computer architecture based on memristive devices: developing Short- and Long-Term Memory’ is part of a larger project, with the overarching goal to build a pattern- completion memory for neuromorphic chips. This experimental project will focus on the design and testing of circuit boards with memristive devices and microcontrollers. The objective is to build neural network for different learning schemes based on simple circuits. Different types of memristive devices have been demonstrated and actively researched in Banerjee lab. The student will benefit from this knowledge and will expand on developing new approaches to study essential device characteristics such as reliability of switching process, statistical (in)variance and the underlying process that controls the nonvolatile and multilevel nature of the devices in a circuit. This project will be carried out in close collaboration with CogniGron partners, Prof. Niels Taatgen and Dr Jelmer Borst along with a second PhD student.</p>
<p dir="ltr">The ENHAnCE project provides research and training opportunities for early-stage researchers in the fields of Prognostics and Health Management (PHM), structural health monitoring (SHM), Non-Destructive Evaluation (NDE), Maintenance Modelling, Damage Modelling, Manufacturing Engineering and Smart Structures. Research within the network encompasses a number of disciplines like structural engineering, mathematics &amp; physics, materials &amp; manufacturing engineering, electrical and electronic engineering, aeronautical engineering, mechanical engineering, and computer science.</p>
<p></p>
<p dir="ltr"> </p>
<p dir="ltr">The aim of the research programme is to provide the ESRs with the practical skills and knowledge so that they can perform top-level research, both in the academic and non-academic sectors. In addition, inter-sectorial collaboration is promoted through short-term secondments between academic and non-academic participants. All ESRs will also have the opportunity to enroll for a PhD degree. </p>
<p dir="ltr">A description of the individual projects associated to each ESR position is given below:</p>
<ul dir="ltr"><li>ESR1 (Reliable sensor networks for Structural Health Monitoring (SHM) systems in highly loaded composite structures). Position details:
<ol><li>Main Supervisor: Prof. Peter Wierach (DLR)</li>
<li>Email for informal inquiries: [mailto:peter.wierach@dlr.de peter.wierach@dlr.de]</li>
<li>Work Location: Institute of Composite Structures and Adaptive Systems. German Aerospace Center (DRL), Braunschweig, (Germany)</li>
<li>Specific requirements: Master or Equivalent degree in Mechanical Engineering or equivalent degree.</li>
</ol></li>
</ul><p dir="ltr"> </p>
<ul dir="ltr"><li>ESR2 (Virtual Laboratory for Modelling and Optimisation of Manufacturing of Composites Structures with embedded structural health monitoring systems). Position details:
<ol><li>Main Supervisor: Ir. David Dumas (Cenaero ABSL)</li>
<li>Email for informal inquiries: [mailto:david.dumas@cenaero.be david.dumas@cenaero.be]</li>
<li>Work Location: Polymer Processes and Composites Lab. (Cenaero ASBL), Gosselies, (Belgium)</li>
<li>Specific requirements: Master or Equivalent degree in Mechanical engineering with affinity/background in material science and computer science</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR3 (Model Development and Associated Simulation Tool Based on a Modal Hybrid Method for Smart FRP Composite Structures with AU-SHM sensors). Position details:
<ol><li>Main Supervisor: Prof. Alain Lhémery (Director of Research, CEA LIST)</li>
<li>Email for informal inquiries: [mailto:alain.lhemery@cea.fr alain.lhemery@cea.fr]</li>
<li>Work Location: NDE Department (CEA LIST), Gif-sur-Yvette, (France)</li>
<li>Specific requirements: Master or Equivalent degree in Mechanical Engineering, Applied Mathematics</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR4 (Novel procedure for designing, manufacturing and assembling smart composite wind turbine blades with embedded AU-SHM sensors). Position details:
<ol><li>Main Supervisor: Dr. María Rodríguez Gude (FIDAMC)</li>
<li>Email for informal inquiries:  [mailto:maria.r.rodriguez@fidamc.es maria.r.rodriguez@fidamc.es]</li>
<li>Work Location: Laboratory, (FIDAMC), Getafe, Madrid (Spain)</li>
<li>Specific requirements:  Master or Equivalent degree in Engineering or Applied Physics, background in materials and computer science. Previous experience in acoustic sensors, composite materials, numerical modelling (e.g. using MATLAB) and/or multiphysics simulation would be highly valuable.</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR5 (Prognostic signatures based on data-fusion techniques from Lamb-wave and acoustic emission in real-world FRP laminates subjected to random fatigue damage). Position details:
<ol><li>Main Supervisor: Dr. Dimitrios Zarouchas (TU Delft)</li>
<li>Email for informal inquiries: [mailto:d.zarouchas@tudelft.nl d.zarouchas@tudelft.nl]</li>
<li>Work Location: Department of Aerospace Structures and Materials (Delft University of Technology), Delft, (The Netherlands)</li>
<li>Specific requirements: Master degree in Aerospace/Aeronautics Engineering or Mechanical Engineering with solid background on mechanics of composite materials and experimental mechanics. A combination of strong mathematical/analytical skills and advanced programming skills is required. Understanding of the principles of structural health monitoring techniques such as Acoustic Emission, Lamb waves.</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR6 (Development of fast Bayesian algorithms for real-time prognostics of composite structures based on structural health information). Position details:
<ol><li>Main Supervisor: Dr. Claudio Sbarufatti (POLIMI)</li>
<li>Email for informal inquiries: [mailto:claudio.sbarufatti@polimi.it claudio.sbarufatti@polimi.it]</li>
<li>Work Location: Department of Mechanical Engineering (Politecnico di Milano), Milan, (Italy)</li>
<li>Specific requirements: Master or Equivalent degree in Mechanical Engineering, Aerospace Engineering, Industrial Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management.</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR7 (Development of a System-Level Post-Prognostics Reasoner for FRP turbine blades using on-board SHM). Position details:
<ol><li>Main Supervisor: Prof. Athanasios Kolios (University of Strathclyde)</li>
<li>Email for informal inquiries: [mailto:athanasios.kolios@strath.ac.uk athanasios.kolios@strath.ac.uk]</li>
<li>Work Location: Department of Naval Architecture, Ocean and Marine Engineering, (University of Strathclyde), Glasgow, (Scotland, UK)</li>
<li>Specific requirements: Master or Equivalent degree in Engineering (ie Mechanical, Electrical, Structural, Civil)</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR8 (Modelling risk of failure using guided wave propagation and interaction with damage in complex composite structures). Position details:
<ol><li>Main Supervisor: Dr. Dimitrios Chronopoulos (University of Nottingham)</li>
<li>Email for informal inquiries: [mailto:dimitrios.chronopoulos@nottingham.ac.uk dimitrios.chronopoulos@nottingham.ac.uk]</li>
<li>Work Location: Aerospace Technology Centre, (University of Nottingham), Nottingham, (England, UK)</li>
<li>Specific requirements: Master or Equivalent degree in Engineering or Applied Mathematics/Physics</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR9 (A Paradigm-Shift Research for System-Level Real-Time Prognostics of Cyber-Physical Assets using Deep Learning approaches). Position details:
<ol><li>Main Supervisor: Dr. Juan Chiachío Ruano (University of Granada)</li>
<li>Email for informal inquiries: [mailto:jchiachio@ugr.es jchiachio@ugr.es]</li>
<li>Work Location: Dept. Structural Mechanics &amp; Hydraulics Engineering, (University of Granada), Granada (Spain)</li>
<li>Specific requirements: Master degree in Structural Engineering, Applied Mathematics, Mechanical Engineering, Aeronautical Engineering, Naval &amp; Oceanic Engineering, Civil Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management (PHM).</li>
</ol></li>
</ul><p> </p>
<ul dir="ltr"><li>ESR10 (Development of a prognostics-based self-adaptive Expert System for smart Composite Structures). Position details:
<ol><li>Main Supervisor: Dr. Manuel Chiachío Ruano (University of Granada)</li>
<li>Email for informal inquiries: [mailto:mchiachio@ugr.es mchiachio@ugr.es]</li>
<li>Work Location: Dept. Structural Mechanics &amp; Hydraulics Engineering, (University of Granada), Granada (Spain)</li>
<li>Specific requirements: Master degree in Structural Engineering, Applied Mathematics, Mechanical Engineering, Aeronautical Engineering, Naval &amp; Oceanic Engineering, Civil Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management (PHM).</li>
</ol></li>
</ul><p> </p>
<p> </p>
<ul dir="ltr"></ul><p></p>
    
    
=== [https://euraxess.ec.europa.eu/jobs/469679 Tenure-track Assistant Professor in Electrophysiological patient monitoring] ===
=== [https://euraxess.ec.europa.eu/jobs/469679 Tenure-track Assistant Professor in Electrophysiological patient monitoring] ===
Line 431: Line 359:
<p>More information: [http://apanichella.github.io/ http://apanichella.github.io], [https://se.ewi.tudelft.nl/sbse.html https://se.ewi.tudelft.nl/sbse.html]</p>
<p>More information: [http://apanichella.github.io/ http://apanichella.github.io], [https://se.ewi.tudelft.nl/sbse.html https://se.ewi.tudelft.nl/sbse.html]</p>
<p> </p>
<p> </p>
<p></p>
 
=== [https://euraxess.ec.europa.eu/jobs/483265 PhD position in Groningen Cognitive Systems and Materials Center (1.0 FTE)] ===
; Organization : University of Groningen
; Research Field : Physics
; Researcher Profile : <nowiki>First Stage Researcher (R1)</nowiki>
; Deadline : 02/03/2020 00:00 - Europe/Brussels
; Location : Netherlands
; Type Of Contract : Temporary
; Hours Per Week : 38.0
See [https://euraxess.ec.europa.eu/jobs/483265 the offer] on Euraxess website.
    <p></p><p>We are looking for a motivated PhD candidate to work in an interdisciplinary environment under the supervision of Prof. Tamalika Banerjee at the Zernike Institute for Advanced Materials, University of Groningen, The Netherlands. The PhD programme entitled ‘Towards a cognitive computer architecture based on memristive devices: developing Short- and Long-Term Memory’ is part of a larger project, with the overarching goal to build a pattern- completion memory for neuromorphic chips. This experimental project will focus on the design and testing of circuit boards with memristive devices and microcontrollers. The objective is to build neural network for different learning schemes based on simple circuits. Different types of memristive devices have been demonstrated and actively researched in Banerjee lab. The student will benefit from this knowledge and will expand on developing new approaches to study essential device characteristics such as reliability of switching process, statistical (in)variance and the underlying process that controls the nonvolatile and multilevel nature of the devices in a circuit. This project will be carried out in close collaboration with CogniGron partners, Prof. Niels Taatgen and Dr Jelmer Borst along with a second PhD student.</p>
<p></p>
 
=== [https://euraxess.ec.europa.eu/jobs/479571 PhD position in the field of acoustical engineering] ===
; Organization : Fraunhofer IWU
; Research Field : Engineering, Physics › Acoustics, Technology
; Researcher Profile : <nowiki>First Stage Researcher (R1)</nowiki>
; Deadline : 28/02/2020 23:00 - Europe/London
; Location : Germany
; Type Of Contract : Temporary
; Job Status : Negotiable
See [https://euraxess.ec.europa.eu/jobs/479571 the offer] on Euraxess website.
    <p></p><p>You are enthusiastic about Noise, Vibration and Harshness in automotive engineering? So you might be the ideal candidate for our PhD position in the field of acoustical Engineering!</p>
<p>The PhD position is part of the Marie Curie Training Network <em>ECO DRIVE</em> which is a European project running from March 2020 until February 2024. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 858018. The coordinator of the project is the Katholieke Universiteit Leuven in Belgium. The project consortium consists of four European universities, four industrial companies (two automotive OEMs) and one research organisation.</p>
<p>Noise and vibration in eco-efficient (i.e. mostly electric) powertrains is at the core of the <em>ECO DRIVE</em> project. It offers a comprehensive, multi-disciplinary research and training programme to Early Stage Researchers (ESRs) to provide Europe with a new generation of NVH research engineers who have a talent and a passion for the automotive industry. The ESRs will combine basic scientific research (method development, concept solutions, experimental lab tests, etc.) with practical, industry-focused training (validation of methods and tools on powertrain test benches, in full vehicle, etc.). The project will be very dynamic, with an emphasis on ensuring ESRs gain maximum benefit from moving between the research organisations and the industry partners.</p>
<p>Within this project we are seeking an early‐stage researcher (ESR) <strong>for a duration of 36 months</strong> to join the Department of Acoustical Engineering at Fraunhofer IWU in Dresden. The earliest starting date is March 2020. The chosen candidate will be registered as a PhD student at KU Leuven&#39;s Noise and Vibration Research Group ([http://www.mech.kuleuven.be/mod www.mech.kuleuven.be/mod]) which is part of the Mechanical Engineering Department and is headed by Prof. Wim Desmet. <strong>The position includes secondments to Siemens Industry Software (Belgium) and Katholieke Universiteit Leuven (Belgium).</strong></p>
<p><strong>Acoustical Engineering at Fraunhofer IWU</strong></p>
<p> </p>
<p>Fraunhofer IWU is an Institute of the Fraunhofer-Gesellschaft in Germany. The main research focus is on the development of intelligent production devices and the optimisation of related manufacturing processes. The Department of Acoustical Engineering has rich experience in the development of active and passive systems for noise and vibration control for a wide range of applications. Researchers are developing methodologies for prediction of acoustical phenomena in vehicles mostly for gearboxes and electrical drives. Simulation methods used cover noise excitation mechanisms and noise transfer within a system while taking into account subsystem interactions using multi-domain simulation approaches as well as data capture and analysis at bespoke test rigs.</p>
<p><strong>Project Background</strong></p>
<p> </p>
<p>As manufacturers shift to vehicles that produce reduced levels of air pollution – with less particulate matter, nitrogen oxides and greenhouse gases – there are knock-on effects with respect to other forms of pollution, particularly noise pollution, which according to the World Health Organisation, comes second only to air pollution in its harmful effects and is responsible for hearing loss, learning problems in children and sleep disturbance. The problem is that attempts to reduce air pollution, e.g. by producing lightweight cars, often lead to increased levels of noise, due to complex mechano-acoustic effects. Also with electric vehicles (EVs), the absence of the damping effect of a large internal combustion (IC) engine means that intrusive sounds from other components create customer dissatisfaction and negatively affect people in close proximity to the vehicle. It is often wrongly assumed that EVs are silent; whereas in reality they create a great deal of high-frequency disturbance. To overcome some of the many challenges associated with these noise-related problems, the <em>ECO DRIVE</em> project will train 13 early-stage researchers (ESRs) in the testing and simulation of</p>
<p>eco-friendly powertrains, helping them to address the complex challenges related to noise emission and sound perception associated with downsized IC engines, electric motors and hybrids that come from transmission-induced NVH (Noise, Vibration and Harshness) and drive line torsional vibrations. They will be working on brand new vehicle designs that maximise performance in terms of eco efficiency (i.e., gas emissions, fuel consumption, battery usage, etc.), power, NVH and, of course, cost.</p>
<p><strong>Vacancy description</strong></p>
<p> </p>
<p>The ESR PhD track at Fraunhofer IWU targets the simulation-based development of novel gearbox design concepts which are characterised by blending lightweight technologies and low noise emission levels. The ESR will evaluate the influence of lightweight construction approaches on gearbox acoustics by means of simulations. The downsizing of drive trains often leads to lighter and more flexible structures. The higher elasticity of the system’s components directly affects the existing gear mesh excitation and the transfer paths of the gearbox. For example, higher flexibilities of the housing, shafts and gear blanks cause a more misalignment in the tooth contacts which can lead to higher system excitation and to worse acoustic performance. <strong>The aim of this ESR project is to help identify the risks and capabilities of lightweight designs in terms of the gearbox’s acoustic performance using simulation-based sensitivity analyses and parameter studies.</strong> In addition to the investigation of lightweight construction techniques, new production technologies, for example the additive manufacturing of gear wheels by selective laser melting, as well as acoustically promising materials (e.g. foam structures or meta-materials) will be part of the analysis. The combination of different lightweight approaches will lead to new possible design concepts for gearboxes. The potential and risks of these cutting-edge designs will be benchmarked against the best current Systems.</p>
<p></p>
 
=== [https://euraxess.ec.europa.eu/jobs/486811 CINBIO20-10. 3 RECOGNIZED RESEARCHERS, PI JUNIOR (# of pos: 3)] ===
; Organization : Universidade de Vigo
; Research Field : Biological sciences › Other
; Researcher Profile : <nowiki>Recognised Researcher (R2)</nowiki>
; Deadline : 28/02/2020 10:00 - Europe/Brussels
; Location : Spain
; Type Of Contract : Temporary
; Hours Per Week : 40
; Job Status : Full-time
See [https://euraxess.ec.europa.eu/jobs/486811 the offer] on Euraxess website.
    <p></p><p>CINBIO aims at generating first class science; training in values of excellence and make returns to the society, under a multidisciplinary approach. It is working on basic, applied and clinical research, to address prevention, diagnosis and therapy in Biomedicine.</p>
<p>We are opening a new strategic roadmap with four main strategic areas:</p>
<p>Molecular medicine / Nutrition and Wellness / Nanomaterials / Bio-statistics and Health informatics and intelligent systems. There are 14 research leaders in the areas of Applied Physics / Biomass and Sustainable Development / Analytical &amp; Food Chemistry –Biotoxins- / Colloid Chemistry and Nanophotonics / Magnetic Materials / Nanocatalysis and biosensors / Organic Chemistry / Neuroscience / Endocrinology / Rare Diseases/ Immunology / Evolutionary and Biomedical Genomics / Next Generation Computer Systems / Biostatistics and Epidemiology.</p>
<p><strong>Profile:</strong> The Biomedical Research Center (CINBIO) offers <strong>up to 3 full-time positions REC</strong><strong>OGNIZED RESEARCHERS, PI JUNIOR</strong><strong>. </strong></p>
<p> </p>
<p><strong>Requested: </strong>Candidates must have postdoctoral research experience with a very good publication track record. CINBIO wants to attract and retain young talent to further develop its strategic lines of research.</p>
<p><strong>Skills: </strong></p>
<ul><li>Willing to build up on our strengths, and driven to become PIs established researchers in 1-2 years time.</li>
<li>Able to lead in executing collaborative research projects in cooperation with colleagues and project partners.</li>
<li>Publishes in high impact journals with a relevant role.</li>
<li>Committed to professional development of his/her own career and acts as mentor for PhD and Master students.</li>
</ul><p> </p>
<p></p>
<p></p>

Revision as of 00:45, 28 February 2020

Research Areas

We are looking for motivated students, PhD students and scientists in the following research areas:

  • Modeling polymer materials (Quantum chemistry, molecular dynamics, FEM)
  • Synthesis and design of electroactive polymer materials and actuators.
  • Physical and chemical characterization of polymer materials.
  • Cyclic flow-electrode capacitor development
  • Electromechanical characterization and validation of electroactive polymer actuators and sensors.
  • Electromecahnical modelling of EAP materials (FEM, Electromechanicalmodels)
  • Radiation damage of materials
  • Biologially inspired robotics
  • Image processing
  • Applications of robotics

Positions

Euraxess Offers

Project Manager Horizon 2020 Research and Innovation - Transport

Organization
INEA
Research Field
Technology › Transport technology
Researcher Profile
First Stage Researcher (R1) Established Researcher (R3) Recognised Researcher (R2) Leading Researcher (R4)
Deadline
13/03/2020 23:00 - Europe/Brussels
Location
Belgium
Type Of Contract
Other
Hours Per Week
40
Job Status
Full-time

See the offer on Euraxess website.

The Innovation and Networks Executive Agency (INEA)

INEA is an Executive Agency established by the European Commission to implement parts of EU funding programmes for transport, energy and telecommunications. The Agency’s mission is to provide its stakeholders with expertise and high-level programme management, whilst promoting synergies among programmes, in order to benefit economic growth and EU citizens.

Two main programmes managed by INEA are:

  • The Connecting Europe Facility (CEF): a key EU funding instrument that supports the development of high-performing, sustainable and interconnected Trans-European Networks in the fields of transport, energy and telecommunications. In the 2014-2020 financial period, INEA is managing €28.3 billion of CEF funding for projects in these fields.
  • Horizon 2020: the EU’s €80 billion Research and Innovation programme for 2014-2020 that supports world-class science and technology as a driver of economic growth. INEA is managing parts of the programme for a total amount of €5.3 billion over seven years in the areas of transport and energy.

In the 2014-2020 financial period INEA is managing over 9.000 projects under both programmes. The implementation of these programmes is expected to continue beyond 2020. In the future the Commission may decide to entrust INEA with the management of other parts of these programmes, or other programmes.

Working environment

INEA has a multinational team of around 300 persons. The Agency’s staff includes specialists in project management, finance, engineering, reporting, legal affairs and communication covering the fields of transport, energy and telecommunications.

The number of INEA staff is expected to grow further over the coming years, and the purpose of this publication is therefore to set up a reserve list which will be used to cover the growing needs of the Agency.

INEA is based in Brussels and offers an attractive working environment, as well as numerous sports and social activities.

More information on INEA

Check our website: http://ec.europa.eu/inea

Follow us on Twitter: @inea_eu

Look for us on LinkedIn: http://bit.ly/2ecs3JA

Description of the job

The project manager will be responsible for a portfolio of transport research and innovation projects in one or more of the following five fields:

  • Batteries, electrical systems and management systems for electric vehicles;
  • Automated transport, intelligent transport systems and data management;
  • Clean propulsion, safety and smart services in surface transport;
  • Technologies, structures and materials for aviation and air mobility;
  • Clean propulsion, technologies and smart services in waterborne transport.

The projects can cover a range of development levels, from lab-based research, through demonstration to market uptake. The project manager will work autonomously under the authority of a team leader. He/she will also collaborate fully with a wider team of colleagues in the Agency and the European Commission.

The project manager will contribute to the development and implementation of relevant policies falling under EC treaties in the field of Transport research and innovation through the management of projects in the programmes under the responsibility of the Agency, primarily those relating to the delegated activities to be managed under the Horizon 2020 Transport Challenge and any other delegated programmes.

Core tasks:

+ SPECIFIC PROJECT/PROCESS MANAGEMENT - Project and process management

 

  • Prepare, manage and monitor calls for proposals/ tenders, and the evaluation and selection of projects, including the selection of experts and allocation of experts to proposals.
  • Prepare technical and financial aspects of the contract linked to the implementation of the projects.
  • Monitor the fulfilment of contractual obligations (via periodic and, possibly, on-site reviews, audits, reporting and assistance, etc.), with the possible help of external expertise and ensure quality control.
  • Contribute to horizontal activities including clustering and networking aspects of the programme and its projects.

FINANCE - Financial Expenditures

  • Maintain an overview of progress and financial expenditures of projects, and provide the necessary assurance on the legality and regularity of all transactions.
  • Scrutinise the financial aspects of the projects, in particular with regard to the need and eligibility of costs.

Other tasks:

+ INTER-SERVICE COORDINATION and CONSULTATION - with other institutions and organisations

  • Participate in the co-ordination of activities with external stakeholders to ensure the success of the projects.

+ INTERNAL MANAGEMENT and COORDINATION - within the unit /department /

Agency

  • Represent the unit in contacts with other units and departments of the Agency.
  • Co-ordinate specific horizontal activities within the unit, department and Agency.
  • Contribute to administrative development of the management process within the unit or department.
  • Contribute and coordinate activities of the unit or department with other services to respond to inter-service consultations.
  • Reply to requests for information and prepare briefings.

+ POLICY DEVELOPMENT- Contribution to Policy definition

  • Contribute to the development by the parent DG of strategy and new approaches to the programme by providing timely feedback and reporting on the lessons learnt from the projects' implementation, results and ex-post evaluation.

+ EXTERNAL COMMUNICATION (general) - Public information (communication and networking)

  • Extract and disseminate the state of the art as well as project and programme results and present these at workshops, seminars, conferences and other public events organised by the Agency, the parent DG or by third parties.

+ QUALITY MANAGEMENT and EVALUATION - Programme/projects evaluation

  • Contribute to the analysis and assessment the results and impact of the projects and programme, provide feedback and make suggestions for modifications / new orientations.
  • Assure and contribute to the effective dissemination and take up of project results.

Qualifications and experience required

A. Eligibility criteria

  • Be owner of a CAST in the grade for which you are applying* OR be registered in the EPSO/CAST/P/4/2017**;
  • A level of education which corresponds to completed university studies of at least three years attested by a diploma OR, when in a member state of the European Union access to a profession of an equivalent level to function group IV is by State examination, professional training or any other equivalent procedure, the authority authorised to conclude contract of employment may agree to recognize this qualification as being equivalent to a university degree;
  • Thorough knowledge of one of the languages of the Communities and a satisfactory knowledge of another EU language to the extent necessary to perform his/her duties.

* Candidates must be included in the European Personnel Selection Office (EPSO) database for contract agents in function group IV and have successfully passed the EPSO selection tests for that function group. Please note that candidates who are on a valid EPSO list published in 2010 (CAST2010) are eligible on the condition they have successfully passed the complementary tests (DB3), as an Annex to the selection procedure CAST2010. The candidates concerned are invited to consult the letter they received from EPSO for further information.

** In the context of the call for expression of interest[#_ftn1 [1]] EPSO/CAST/P/4/2017 procedure[#_ftn2 [2]], your application will be considered only if you are available to be flagged for the EPSO testing request during the screening phase of this selection process[#_ftn3 [3]]. The pre-selected candidates will be requested by the Agency to undergo the EPSO tests. Only candidates that have successfully passed the EPSO CAST selection will then be invited for an interview.

In addition, in order to be eligible, a candidate must:

  • be a national of one of the Member States of the European Union;
  • be entitled to his/her full rights as citizen;
  • meet the appropriate character reference as to his/her suitability for the performance of his/her duties;
  • have fulfilled any obligations imposed by the applicable laws concerning military service, and;
  • be physically fit to perform the duties linked to the post.

Please note that only candidates that comply with the Eligibility criteria will be considered for further steps of this Selection procedure.

B. Selection criteria

Essential:

  • An engineering or other degree that is directly relevant to one or more of the five fields mentioned in the job description;
  • At least 3 years professional experience relevant to transport research and innovation in one or more of the five fields mentioned in the job description;
  • At least 3 years professional experience in project management;
  • Very good knowledge of English (written and spoken).

Advantageous:

  • Understanding of the EU research and innovation framework and procedures;
  • Experience in working with research and innovation projects;
  • Very good command of other European Union languages, in particular German and/or French.

Personal qualities essential for the position (evaluated during the interview):

  • Very good drafting, co-ordination and problem-solving skills;
  • High degree of organisational skills and ability to work under pressure;
  • Good interpersonal and communication skills;
  • Proven ability to work as a team member;
  • Ability to appreciate and follow priorities.

After having been preselected by the Selection Committee, the Agency will invite for an interview the best candidates, that are owner of a CAST in the relevant function group or that have successfully passed the EPSO CAST selection EPSO/CAST/P/4/2017, with a maximum of 20 candidates invited to the interview.

Candidates are requested to clearly state in their motivation letter for which field(s) mentioned in the above job description they apply and why their degree is relevant to the field(s) identified.

Appointment and conditions of employment

The jobholder will be assigned on the basis of a shortlist proposed by the selection committee.

The jobholder will be recruited as contract staff, in function group IV, pursuant to Article 3a of the Conditions of Employment of Other Servants of the European Communities (CEOS).

The basic monthly salary within this function group will depend on the number of years of relevant professional experience at appropriate level (in function group IV, either grade 13, grade 14 or grade 16).

The jobholder will serve a probation period of nine months.

The initial contract will be for a duration of 1 year. Afterwards, the contract may be renewed for 1 additional year. If the contract is renewed again, it shall be concluded for an indefinite period.

The place of employment will be Brussels where the Agency has its activities.

For reasons related to the Agency’s operational requirements, the candidate will be required to be available at short notice.

For further information on the legal framework of contract agents see the web site of the Directorate-General for Human Resources and Security (DG HR) on the internet at

http://eurlex.europa.eu/LexUriServ/LexUriServ.do?uri=CONSLEG:1962R0031:2...

Equal opportunities

The European Union institutions apply a policy of equal opportunities and accept applications without discrimination on the grounds of sex, race, colour, ethnic or social origin, genetic features, language, religion or belief, political or any other opinion, membership of a national minority, property, birth, disability, age or sexual orientation.

Application procedure

For applications to be valid, candidates must submit:

  • a detailed curriculum vitae, in EU CV format[#_ftn4 [4]];
  • a letter of motivation (2 pages maximum), with a clear identification of the field(s) mentioned in the job description to which she/he applies, an explanation why her/his degree is relevant to the field(s) identified, and an explanation of how each of the eligibility and selection criteria are met.

Your EPSO candidate ID number and the reference of CAST must be mentioned in your CV and motivation letter.

Please note that the motivation letter forms an essential basis for the pre-selection decision.

Applications must be submitted through the eRecruitment system on our website at

http://ec.europa.eu/inea/en/mission-objectives/job-opportunities

Closing date: Applications must be sent no later than 13 March 2020 midnight.

Supporting documents showing evidence of the provided information may be requested at a later stage. No document will be sent back to candidates.

Candidates are invited to apply in English to facilitate the selection process.

In no circumstances should candidates approach the Selection Committee themselves, either directly or indirectly concerning this recruitment. The authority habilitated to conclude contracts reserves itself the right to disqualify any candidate who disregards these instructions.

Selection procedure

A - Written test (30 min)

A case study in English designed to test:

  • your knowledge in the field of the profile,
  • your ability to understand, analyse and summarise,
  • your drafting ability.

This test will be marked out of 40 (pass mark: 20).

B – Oral test (30 min)

Interview with a selection board in English to assess:

  • your knowledge in the field of transport research and innovation,
  • your suitability to carry out the duties of a Project Manager,
  • your knowledge and experience in the field of project management,
  • your communication, inter-personal and problem-solving skills
  • your knowledge of the Horizon 2020 programme,
  • your motivation and your ability to adjust to working as a Contractual Agent in a multicultural environment.

This test will be marked out of 100 (pass mark: 50).

Both the oral and written tests will be combined on a total of 140. Minimum mark: 84 out of 140.

Applicants receiving the minimum score and above (84 out 140), all tests combined, will be included in a reserve list of suitable candidates. Please note that inclusion in the reserve list does not guarantee recruitment.

Information to candidates

An acknowledgement of receipt will be sent to all candidates by email to confirm the reception of their application.

All candidates will be informed in due time about the status of their application, i.e. whether they are invited for the selection phase described above or not. These notifications will be sent via email only.

A candidate may request clarifications about the processing of his/her application by sending an email quoting the reference of the vacancy notice concerned, to the following address: INEA-HR-INFO@ec.europa.eu.

Appeal procedure

A candidate who estimates that a mistake was made in the assessment of his/her profile may ask to have it re-assessed by sending, within 15 calendar days of the date on the email notifying the rejection of his/her application, a request for review, quoting the number of the vacancy notice concerned to the Chairman of the Selection Committee to the following address: INEA-HR-INFO@ec.europa.eu

The Selection Committee will re-examine the application and notify the candidate of its decision within 15 working days upon receipt of the request.

Data protection

The purpose of processing of the data submitted by candidates is to manage the applications in view of a possible pre-selection and recruitment at the INEA. The personal information requested from candidates will be processed in line with Regulation (EU) 2018/1725 of the European Parliament and of the Council of 23 October 2018 on the protection of individuals with regard to the processing of personal data by the Community institutions and bodies and on the free movement of such data.

 

[#_ftnref3 [3]] Candidates who are blocked and therefore cannot be flagged in order to be invited by EPSO to undergo the EPSO/CAST/P/4/2017 competition, because they have failed in the previous testing windows, will be considered as not eligible regardless of the relevance or not of their CV.

Artificial Intelligence to Accelerate Battery Cell Manufacturing and Design. Co-shared PhD position... (# of pos: 2)

Organization
Laboratoire de Réactivité et Chimie des Solides - UMR CNRS 7314; Université de Picardie Jules Verne
Research Field
Other, Technology › Energy technology
Researcher Profile
First Stage Researcher (R1)
Deadline
31/03/2020 23:00 - Europe/Brussels
Location
France
Type Of Contract
Temporary
Hours Per Week
35
Job Status
Full-time
Requirements
Education Level
Engineering: Master Degree or equivalent:; Languages : ENGLISH: Excellent

See the offer on Euraxess website.

Project details:

The optimization of advanced Lithium Ion Battery (LIB) manufacturing and cell design remains a challenging multi-variable task, subject to constraints like the desired final performance, the availability of raw materials, the cost, the safety, the environmental impact and the recyclability. The roadmap of the large scale European initiative Battery 2030+ highlights these issues and proposes research actions which aims at revolutionizing the way we conceive batteries today. Among them, the use of Artificial Intelligence (AI) tools to carry out inverse design of materials interfaces is recognized as of paramount importance. The main objective of this PhD is to use AI to unravel interdependencies between manufacturing parameters, electrode properties, cell design and performance and using these algorithms for inverse design in the battery field.

The main objective of this PhD is the development and demonstrate an innovative AI-driven platform able to carry out two complementary tasks: 1) unravel interdependencies between battery manufacturing parameters and electrode properties, cell design and performance; 2) carry out inverse design, i.e. predicting needed electrode properties (e.g. porosity, loading) to reach a desired performance at the cell level, and predicting manufacturing parameters needed to achieve electrodes with such properties.

Specific Objective:

  • Set the database infrastructure from the batter characterization data available at LRCS and CIDETEC. Defining data and files standards.
  • Build and test AI models used to unravel interdependencies between the manufacturing parameters and the final electrode properties and cell design at different operating conditions.
  • Adapt AI to inverse design purposes.

Supervisors:

Academic supervisors: Prof. Alejandro A. Franco (LRCS) & Mrs. Elixabete Ayerbe (CIDETEC)

Industrial supervisors: UMICORE’s data science group.

Additional information:

The PhD candidate will be devoted 100% to the Big Data work. Experimental work will be carried out through other common projects between LRCS and CIDETEC. The work plan includes alternating work stays between LRCS (Amiens, France) and CIDETEC Energy Storage (Donostia-San Sebastian, Spain). The thesis expenses are covered by the ALISTORE-European Research Institute.

The hosting institutes:

The Laboratoire de Réactivité et Chimie des Solides (LRCS) was founded in 1968 and is a mixed research unit of CNRS and Université de Picardie Jules Verne (Amiens, France). LRCS employs more than 100 people representing more than 25 nationalities. LRCS is located in the beautiful city of Amiens, France.

LRCS has a strong expertise on rechargeable battery technologies (lithium-ion batteries, lithium-air, sodium-ion, lithium sulfur, all-solid state batteries, redox flow batteries…) supported on deep expertise on materials synthesis and characterization, electrochemistry, multiscale computational techniques and artificial intelligence tools applied to battery research.

Additionally, LRCS is strongly involved in partnership-oriented research and interdisciplinarity, in particular in the context of the ALISTORE European Research Institute (ERI) (involving more than 10 countries and 20 laboratories) and at the French level through the RS2E network which gathers 17 laboratories, 15 industrial partners and 3 public institutions engaging in rechargeable batteries and supercacitors research. RS2E and ALISTORE-ERI were both founded by the lab’s former director, Prof. Jean-Marie Tarascon.

LRCS was/is involved in numerous European projects (FP7/H2020) such as EUROLIS, PUMA MIND, HELIS, POROUS4APP, NAIADES, SONAR...and it is hosting Prof. Alejandro A. Franco's ERC Consolidator project team (ARTISTIC). LRCS is strongly involved, through RS2E, in the core group of the Battery 2030+, the initiative for a long-term large-scale research program towards the European battery of the future.

A leading-edge fundamental research lab, LRCS also seeks to facilitate technology transfer to the industry through RS2E’s pre-transfer equipment (18650 batteries prototyping, safety, upscaling). LRCS is also working closely with companies (Renault, EDF, Solvay, Safran, Umicore…) to give its findings a chance to reach the market and hopefully… your daily life!

CIDETEC Energy Storage is specialised in creating new battery technologies according to specific challenges, and its ultimate transference to the industry. The institute has the capacity to develop complete products and processes and offers material validation, pilot manufacture, pack engineering and battery testing services. CIDETEC overall workforce consists of 180 employees, 95 % of whom are university graduates and 45 % PhD holders. Its volume of activity came up to € 13.1M in 2018. CIDETEC is located in the beautiful city of Donostia-San Sebastian, Spain.

CIDETEC Energy Storage involves up to 60 specialized researchers distributed into two technological units: Materials for Energy –approx. 2/3 of the workforce with a background of chemistry, electrochemistry and materials- and Systems Engineering - mainly electrical and mechanical engineers. As a result of this approach, CIDETEC Energy Storage cooperates closely with the industry in the context of bilateral, direct contract research and product development projects, both at the National and International level.

CIDETEC Energy Storage is heavily involved in the European batteries community, including several EU level platforms and associations where energy storage and its applications is at the core. We are active member in several industrial and research associations and platforms like the ETIP Batteries Europe, the European Battery Alliance (EBA), EGVIA, EARPA, EMIRI or EERA. In particular, Dr Oscar Miguel, Director of CIDETEC Energy Storage, was appointed Chairman of Working Group #4 on Cell design and Manufacturing within the recently launched ETIP Batteries Europe.

CIDETEC Energy Storage is also regular participant in H2020 European funded projects, frequently from the coordination of international consortia –currently CIDETEC Energy Storage is coordinator of iModBatt, iHeCoBatt, DEFACTO and E-Magic projects. We accumulate more than 15 participations in EU funded R+D battery projects under FP7 and H2020. Finally, CIDETEC Energy Storage is involved as well in the core team of BATTERY 2030+ and in ALISTORE-ERI.

10 ESR Marie Sklodowska-Curie positions available- ENHAnCE ITN project (# of pos: 10)

Organization
“Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) H2020-MSCA-ITN-2019-859967
Research Field
Engineering › Aerospace engineering, Engineering › Control engineering, Engineering › Materials engineering, Engineering › Mechanical engineering, Mathematics › Algorithms, Mathematics › Applied mathematics, Mathematics › Statistics, Physics › Applied physics
Researcher Profile
First Stage Researcher (R1)
Deadline
15/03/2020 17:00 - Europe/Brussels
Location
Spain
Type Of Contract
Temporary
Hours Per Week
40
Job Status
Full-time
Requirements
Education Level
Engineering: Master Degree or equivalent:; Languages : ENGLISH: Excellent

See the offer on Euraxess website.

The Marie Skłodowska-Curie Actions Innovative Training Network (H2020-MSCA-ITN-2019-859957) “Intelligent Prognostics and Health Management in Composite Structures” (ENHAnCE) invites applications for 10 early-stage research (ESR) positions available with a starting date in the interval June 1st –Sept 1st 2020 for a period of three years. ENHAnCE will be based on 9 partner beneficiaries and 6 partner organisations involving universities, research organisations, government agencies and industries, and will perform cutting edge research and training in the field of intelligent prognostics of composite structures satisfying all Principles for Innovative Doctoral Training. The ENHAnCE Consortium, led by Dr. Manuel Chiachío Ruano (University of Granada, Spain) as coordinator, is based on an international, inter-sectorial network based on institutions from 9 countries: Spain, United Kingdom, Germany, Belgium, France, Italy, The Netherlands, Poland and Brazil. More information about the network can be found at ENHAnCE Website (coming soon).

 

The ENHAnCE project provides research and training opportunities for early-stage researchers in the fields of Prognostics and Health Management (PHM), structural health monitoring (SHM), Non-Destructive Evaluation (NDE), Maintenance Modelling, Damage Modelling, Manufacturing Engineering and Smart Structures. Research within the network encompasses a number of disciplines like structural engineering, mathematics & physics, materials & manufacturing engineering, electrical and electronic engineering, aeronautical engineering, mechanical engineering, and computer science.

 

The aim of the research programme is to provide the ESRs with the practical skills and knowledge so that they can perform top-level research, both in the academic and non-academic sectors. In addition, inter-sectorial collaboration is promoted through short-term secondments between academic and non-academic participants. All ESRs will also have the opportunity to enroll for a PhD degree. 

A description of the individual projects associated to each ESR position is given below:

  • ESR1 (Reliable sensor networks for Structural Health Monitoring (SHM) systems in highly loaded composite structures). Position details:
    1. Main Supervisor: Prof. Peter Wierach (DLR)
    2. Email for informal inquiries: peter.wierach@dlr.de
    3. Work Location: Institute of Composite Structures and Adaptive Systems. German Aerospace Center (DRL), Braunschweig, (Germany)
    4. Specific requirements: Master or Equivalent degree in Mechanical Engineering or equivalent degree.

 

  • ESR2 (Virtual Laboratory for Modelling and Optimisation of Manufacturing of Composites Structures with embedded structural health monitoring systems). Position details:
    1. Main Supervisor: Ir. David Dumas (Cenaero ABSL)
    2. Email for informal inquiries: david.dumas@cenaero.be
    3. Work Location: Polymer Processes and Composites Lab. (Cenaero ASBL), Gosselies, (Belgium)
    4. Specific requirements: Master or Equivalent degree in Mechanical engineering with affinity/background in material science and computer science

 

  • ESR3 (Model Development and Associated Simulation Tool Based on a Modal Hybrid Method for Smart FRP Composite Structures with AU-SHM sensors). Position details:
    1. Main Supervisor: Prof. Alain Lhémery (Director of Research, CEA LIST)
    2. Email for informal inquiries: alain.lhemery@cea.fr
    3. Work Location: NDE Department (CEA LIST), Gif-sur-Yvette, (France)
    4. Specific requirements: Master or Equivalent degree in Mechanical Engineering, Applied Mathematics

 

  • ESR4 (Novel procedure for designing, manufacturing and assembling smart composite wind turbine blades with embedded AU-SHM sensors). Position details:
    1. Main Supervisor: Dr. María Rodríguez Gude (FIDAMC)
    2. Email for informal inquiries:  maria.r.rodriguez@fidamc.es
    3. Work Location: Laboratory, (FIDAMC), Getafe, Madrid (Spain)
    4. Specific requirements:  Master or Equivalent degree in Engineering or Applied Physics, background in materials and computer science. Previous experience in acoustic sensors, composite materials, numerical modelling (e.g. using MATLAB) and/or multiphysics simulation would be highly valuable.

 

  • ESR5 (Prognostic signatures based on data-fusion techniques from Lamb-wave and acoustic emission in real-world FRP laminates subjected to random fatigue damage). Position details:
    1. Main Supervisor: Dr. Dimitrios Zarouchas (TU Delft)
    2. Email for informal inquiries: d.zarouchas@tudelft.nl
    3. Work Location: Department of Aerospace Structures and Materials (Delft University of Technology), Delft, (The Netherlands)
    4. Specific requirements: Master degree in Aerospace/Aeronautics Engineering or Mechanical Engineering with solid background on mechanics of composite materials and experimental mechanics. A combination of strong mathematical/analytical skills and advanced programming skills is required. Understanding of the principles of structural health monitoring techniques such as Acoustic Emission, Lamb waves.

 

  • ESR6 (Development of fast Bayesian algorithms for real-time prognostics of composite structures based on structural health information). Position details:
    1. Main Supervisor: Dr. Claudio Sbarufatti (POLIMI)
    2. Email for informal inquiries: claudio.sbarufatti@polimi.it
    3. Work Location: Department of Mechanical Engineering (Politecnico di Milano), Milan, (Italy)
    4. Specific requirements: Master or Equivalent degree in Mechanical Engineering, Aerospace Engineering, Industrial Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management.

 

  • ESR7 (Development of a System-Level Post-Prognostics Reasoner for FRP turbine blades using on-board SHM). Position details:
    1. Main Supervisor: Prof. Athanasios Kolios (University of Strathclyde)
    2. Email for informal inquiries: athanasios.kolios@strath.ac.uk
    3. Work Location: Department of Naval Architecture, Ocean and Marine Engineering, (University of Strathclyde), Glasgow, (Scotland, UK)
    4. Specific requirements: Master or Equivalent degree in Engineering (ie Mechanical, Electrical, Structural, Civil)

 

  • ESR8 (Modelling risk of failure using guided wave propagation and interaction with damage in complex composite structures). Position details:
    1. Main Supervisor: Dr. Dimitrios Chronopoulos (University of Nottingham)
    2. Email for informal inquiries: dimitrios.chronopoulos@nottingham.ac.uk
    3. Work Location: Aerospace Technology Centre, (University of Nottingham), Nottingham, (England, UK)
    4. Specific requirements: Master or Equivalent degree in Engineering or Applied Mathematics/Physics

 

  • ESR9 (A Paradigm-Shift Research for System-Level Real-Time Prognostics of Cyber-Physical Assets using Deep Learning approaches). Position details:
    1. Main Supervisor: Dr. Juan Chiachío Ruano (University of Granada)
    2. Email for informal inquiries: jchiachio@ugr.es
    3. Work Location: Dept. Structural Mechanics & Hydraulics Engineering, (University of Granada), Granada (Spain)
    4. Specific requirements: Master degree in Structural Engineering, Applied Mathematics, Mechanical Engineering, Aeronautical Engineering, Naval & Oceanic Engineering, Civil Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management (PHM).

 

  • ESR10 (Development of a prognostics-based self-adaptive Expert System for smart Composite Structures). Position details:
    1. Main Supervisor: Dr. Manuel Chiachío Ruano (University of Granada)
    2. Email for informal inquiries: mchiachio@ugr.es
    3. Work Location: Dept. Structural Mechanics & Hydraulics Engineering, (University of Granada), Granada (Spain)
    4. Specific requirements: Master degree in Structural Engineering, Applied Mathematics, Mechanical Engineering, Aeronautical Engineering, Naval & Oceanic Engineering, Civil Engineering. Required strong background in computer science and programming. Highly valuable background in Prognostics and Health Management (PHM).

 

 

    Tenure-track Assistant Professor in Electrophysiological patient monitoring

    Organization
    Eindhoven University of Technology (TU/e)
    Research Field
    Technology
    Researcher Profile
    Established Researcher (R3) Leading Researcher (R4)
    Deadline
    02/03/2020 00:00 - Europe/Brussels
    Location
    Netherlands
    Type Of Contract
    Temporary
    Hours Per Week
    38.0


    See the offer on Euraxess website.

    Eindhoven University of Technology (TU/e) is one of Europe's leading research universities.
    The Eindhoven area, in the southern part of the Netherlands, is one of Europe's top innovation ecosystems, with many high-tech companies and institutes, such as Philips, ASML, NXP, DAF, OCE, and the Holst Centre. TU/e is closely intertwined with many of these companies and institutes, and research at TU/e is characterized by a combination of academic excellence and industrial relevance. Culturally the Netherlands is a very interesting part of Europe. Historic cities such as Amsterdam, The Hague, Maastricht, Brussels, and Antwerp are all within easy reach from Eindhoven.

    The Signal Processing Systems group at TU/e has a collaborative, entrepreneurial, and informal working atmosphere, with 16 full-time scientific staff members, 9 senior clinical and industrial experts who are appointed as part-time professor and around 100 PhD students and postdocs. Its strong international scientific reputation is evidenced by e.g. 7 Fellowships of IEEE, AES and OSA.

    The position will be embedded in the Biomedical Diagnostics Lab (BM/d, www.bmdresearch.nl), part of the signal processing systems group. This lab has a long-standing international academic reputation in physiological monitoring, biomedical signal and image analysis and machine learning, and is a key player in the Eindhoven MedTech Innovation Center, a large-scale collaboration between TU/e, Philips Research and the semi-academic hospitals in the Eindhoven region geared to create a fast track to MedTech inovations. The candidate will also be embedded in this ecosystem.

    To reinforce this vibrant community we are looking for a new tenure-track scientific staff member.

    The vacancy:

    Electrophysiological measurements such as ECG, EEG and EMG are used in a variety of clinical applications, such as cardiac status monitoring in high-care hospital units, diagnosis and monitoring of epilepsy, and electrophysiological pregnancy monitoring. There is a strong need and potential to broaden the range of applications of these measurements by building on advances in pathophysiological mathematical modeling, microelectronic bioamplifier design, signal processing, and artificial intelligence. For example, advances in microelectronics foreshadow low-power contactless or semi-contactless measurements of large arrays of electrophysiological signals, potentially permitting reliable measurements in extramural settings, unobtrusive assessment of neonatal EEG, and high-resolution electrocardiographic mapping for atrial fibrillation treatment planning.

    To materialize this potential we are looking for a candidate with a strong background in biomedical sensing, signal processing and machine learning, affinity and familiarity with mixed-signal microelectronics and the ability and interest to work closely with medical doctors in order to build up essential pathophysiological and sensor artifact knowledge, capture it in mathematical models, and exploit these models in hybrid model-based/data-driven signal analysis and interpretation approaches.

    PhD position Artificial Intelligence

    Organization
    Delft University of Technology (TU Delft)
    Research Field
    Economics, Physics, Technology
    Researcher Profile
    First Stage Researcher (R1)
    Deadline
    29/02/2020 23:59 - Europe/Brussels
    Location
    Netherlands
    Type Of Contract
    Temporary
    Hours Per Week
    38.0


    See the offer on Euraxess website.

    The Delft University of Technology participates in the AI-for-Fintech Lab (AFL) in collaboration with IG. The goal of the lab is to perform world-class research at the intersection of Artificial Intelligence, Data Analytics, and Software Engineering in the context of FinTech. More information about AFL is available at the following link: https://icai.ai/ai-for-fintech-lab/.

    The Ph.D. position will focus on the intersection between AI and Software Testing, with attention to AI solutions for Testing and Testing solutions for AI.

    More specifically, the research is concerned with the development of solutions  to test and validate AI-intensive systems, including the internal stages of the AI pipelines, the AI models, and the interaction with other non-AI-based components. Besides, AI (and computational intelligence in particular) is a powerful tool to foster and automated software testing. Part of the research will include the design of  AI-based solution (e.g., metaheuristics) to generate test cases for AI-intense systems and to predict test results. Background: Software Testing, Meta-heuristics, Artificial Intelligence.

    Supervisors: Annibale Panichella, Arie van Deursen

    More information: http://apanichella.github.io, https://se.ewi.tudelft.nl/sbse.html

     

    PhD position in Groningen Cognitive Systems and Materials Center (1.0 FTE)

    Organization
    University of Groningen
    Research Field
    Physics
    Researcher Profile
    First Stage Researcher (R1)
    Deadline
    02/03/2020 00:00 - Europe/Brussels
    Location
    Netherlands
    Type Of Contract
    Temporary
    Hours Per Week
    38.0


    See the offer on Euraxess website.

    We are looking for a motivated PhD candidate to work in an interdisciplinary environment under the supervision of Prof. Tamalika Banerjee at the Zernike Institute for Advanced Materials, University of Groningen, The Netherlands. The PhD programme entitled ‘Towards a cognitive computer architecture based on memristive devices: developing Short- and Long-Term Memory’ is part of a larger project, with the overarching goal to build a pattern- completion memory for neuromorphic chips. This experimental project will focus on the design and testing of circuit boards with memristive devices and microcontrollers. The objective is to build neural network for different learning schemes based on simple circuits. Different types of memristive devices have been demonstrated and actively researched in Banerjee lab. The student will benefit from this knowledge and will expand on developing new approaches to study essential device characteristics such as reliability of switching process, statistical (in)variance and the underlying process that controls the nonvolatile and multilevel nature of the devices in a circuit. This project will be carried out in close collaboration with CogniGron partners, Prof. Niels Taatgen and Dr Jelmer Borst along with a second PhD student.

    PhD position in the field of acoustical engineering

    Organization
    Fraunhofer IWU
    Research Field
    Engineering, Physics › Acoustics, Technology
    Researcher Profile
    First Stage Researcher (R1)
    Deadline
    28/02/2020 23:00 - Europe/London
    Location
    Germany
    Type Of Contract
    Temporary
    Job Status
    Negotiable

    See the offer on Euraxess website.

    You are enthusiastic about Noise, Vibration and Harshness in automotive engineering? So you might be the ideal candidate for our PhD position in the field of acoustical Engineering!

    The PhD position is part of the Marie Curie Training Network ECO DRIVE which is a European project running from March 2020 until February 2024. This project has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement number 858018. The coordinator of the project is the Katholieke Universiteit Leuven in Belgium. The project consortium consists of four European universities, four industrial companies (two automotive OEMs) and one research organisation.

    Noise and vibration in eco-efficient (i.e. mostly electric) powertrains is at the core of the ECO DRIVE project. It offers a comprehensive, multi-disciplinary research and training programme to Early Stage Researchers (ESRs) to provide Europe with a new generation of NVH research engineers who have a talent and a passion for the automotive industry. The ESRs will combine basic scientific research (method development, concept solutions, experimental lab tests, etc.) with practical, industry-focused training (validation of methods and tools on powertrain test benches, in full vehicle, etc.). The project will be very dynamic, with an emphasis on ensuring ESRs gain maximum benefit from moving between the research organisations and the industry partners.

    Within this project we are seeking an early‐stage researcher (ESR) for a duration of 36 months to join the Department of Acoustical Engineering at Fraunhofer IWU in Dresden. The earliest starting date is March 2020. The chosen candidate will be registered as a PhD student at KU Leuven's Noise and Vibration Research Group (www.mech.kuleuven.be/mod) which is part of the Mechanical Engineering Department and is headed by Prof. Wim Desmet. The position includes secondments to Siemens Industry Software (Belgium) and Katholieke Universiteit Leuven (Belgium).

    Acoustical Engineering at Fraunhofer IWU

     

    Fraunhofer IWU is an Institute of the Fraunhofer-Gesellschaft in Germany. The main research focus is on the development of intelligent production devices and the optimisation of related manufacturing processes. The Department of Acoustical Engineering has rich experience in the development of active and passive systems for noise and vibration control for a wide range of applications. Researchers are developing methodologies for prediction of acoustical phenomena in vehicles mostly for gearboxes and electrical drives. Simulation methods used cover noise excitation mechanisms and noise transfer within a system while taking into account subsystem interactions using multi-domain simulation approaches as well as data capture and analysis at bespoke test rigs.

    Project Background

     

    As manufacturers shift to vehicles that produce reduced levels of air pollution – with less particulate matter, nitrogen oxides and greenhouse gases – there are knock-on effects with respect to other forms of pollution, particularly noise pollution, which according to the World Health Organisation, comes second only to air pollution in its harmful effects and is responsible for hearing loss, learning problems in children and sleep disturbance. The problem is that attempts to reduce air pollution, e.g. by producing lightweight cars, often lead to increased levels of noise, due to complex mechano-acoustic effects. Also with electric vehicles (EVs), the absence of the damping effect of a large internal combustion (IC) engine means that intrusive sounds from other components create customer dissatisfaction and negatively affect people in close proximity to the vehicle. It is often wrongly assumed that EVs are silent; whereas in reality they create a great deal of high-frequency disturbance. To overcome some of the many challenges associated with these noise-related problems, the ECO DRIVE project will train 13 early-stage researchers (ESRs) in the testing and simulation of

    eco-friendly powertrains, helping them to address the complex challenges related to noise emission and sound perception associated with downsized IC engines, electric motors and hybrids that come from transmission-induced NVH (Noise, Vibration and Harshness) and drive line torsional vibrations. They will be working on brand new vehicle designs that maximise performance in terms of eco efficiency (i.e., gas emissions, fuel consumption, battery usage, etc.), power, NVH and, of course, cost.

    Vacancy description

     

    The ESR PhD track at Fraunhofer IWU targets the simulation-based development of novel gearbox design concepts which are characterised by blending lightweight technologies and low noise emission levels. The ESR will evaluate the influence of lightweight construction approaches on gearbox acoustics by means of simulations. The downsizing of drive trains often leads to lighter and more flexible structures. The higher elasticity of the system’s components directly affects the existing gear mesh excitation and the transfer paths of the gearbox. For example, higher flexibilities of the housing, shafts and gear blanks cause a more misalignment in the tooth contacts which can lead to higher system excitation and to worse acoustic performance. The aim of this ESR project is to help identify the risks and capabilities of lightweight designs in terms of the gearbox’s acoustic performance using simulation-based sensitivity analyses and parameter studies. In addition to the investigation of lightweight construction techniques, new production technologies, for example the additive manufacturing of gear wheels by selective laser melting, as well as acoustically promising materials (e.g. foam structures or meta-materials) will be part of the analysis. The combination of different lightweight approaches will lead to new possible design concepts for gearboxes. The potential and risks of these cutting-edge designs will be benchmarked against the best current Systems.

    CINBIO20-10. 3 RECOGNIZED RESEARCHERS, PI JUNIOR (# of pos: 3)

    Organization
    Universidade de Vigo
    Research Field
    Biological sciences › Other
    Researcher Profile
    Recognised Researcher (R2)
    Deadline
    28/02/2020 10:00 - Europe/Brussels
    Location
    Spain
    Type Of Contract
    Temporary
    Hours Per Week
    40
    Job Status
    Full-time

    See the offer on Euraxess website.

    CINBIO aims at generating first class science; training in values of excellence and make returns to the society, under a multidisciplinary approach. It is working on basic, applied and clinical research, to address prevention, diagnosis and therapy in Biomedicine.

    We are opening a new strategic roadmap with four main strategic areas:

    Molecular medicine / Nutrition and Wellness / Nanomaterials / Bio-statistics and Health informatics and intelligent systems. There are 14 research leaders in the areas of Applied Physics / Biomass and Sustainable Development / Analytical & Food Chemistry –Biotoxins- / Colloid Chemistry and Nanophotonics / Magnetic Materials / Nanocatalysis and biosensors / Organic Chemistry / Neuroscience / Endocrinology / Rare Diseases/ Immunology / Evolutionary and Biomedical Genomics / Next Generation Computer Systems / Biostatistics and Epidemiology.

    Profile: The Biomedical Research Center (CINBIO) offers up to 3 full-time positions RECOGNIZED RESEARCHERS, PI JUNIOR.

     

    Requested: Candidates must have postdoctoral research experience with a very good publication track record. CINBIO wants to attract and retain young talent to further develop its strategic lines of research.

    Skills:

    • Willing to build up on our strengths, and driven to become PIs established researchers in 1-2 years time.
    • Able to lead in executing collaborative research projects in cooperation with colleagues and project partners.
    • Publishes in high impact journals with a relevant role.
    • Committed to professional development of his/her own career and acts as mentor for PhD and Master students.