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Position:Research Associate in Automotive Powertrains - Energy Harvesting

Department:Wolfson School of Mechanical and Manufacturing Engineering

Institution:Loughborough University

Location:Loughborough, United Kingdom

Description:

Fixed term for 24 months

The position is part of the EPSRC funded research project "Targeted energy transfer in powertrains to reduce vibration-induced energy loses". The project is supported by Ford Motor Company (Dunton Technical Centre), Getrag Ford Transmissions GmbH and Raicam Clutch Limited. The research will be conducted in collaboration with the Linear and Nonlinear Dynamics and Vibrations Laboratory (LNDVL), University of Illinois at Urbana Champaign (UIUC).

The main purpose in this post is to develop energy harvesting technology for automotive powertrains through comprehensive drivetrain modelling and design of nonlinear energy harvesters, which can operate under various operating conditions.

An impending PhD in Nonlinear Dynamics/Vibrations or equivalent experience with in-depth experience of modelling nonlinear dynamics with numerical and/or analytical techniques and of measuring vibrations experimentally in mechanical systems and processing the results in time and frequency domains with appropriate techniques, such as FFT and Wavelet is essential. Post-doctoral experience in energy harvesting and of using virtual prototype development of mechanical systems using commercial software (e.g. MATLAB, ADAMS, SIMPACK) is desirable.

Applications can be submitted through the Loughborough University online system by the 14th of September.

For an informal discussion about this role please contact Dr Stephanos Theodossiades (S.Theodossiades AT lboro.ac.uk), +44 (0)1509 227664 (Direct) or 01509 227674 (Secretary: Jacqueline Kemp)

Application link.

Position:14 PhD positions in Mechanical Engineering and Computational Mathematics

Department:Mechanical Engineering or Mathematics

Institution:Martin Luther University Halle-Wittenberg and 11 other institutions in Europe

Location:Multiple locations in Europe, see https://thread-etn.eu/partners/, Europe

Description:

Applications are invited for 14 PhD positions (“Early Stage Researchers”) to be funded by the Marie Skłodowska‐Curie Innovative Training Network “Joint Training on Numerical Modelling of Highly Flexible Structures for Industrial Applications [THREAD]” within the Horizon 2020 Programme of the European Commission.

THREAD is a consortium of 12 high‐profile universities, research institutions and companies located in Austria, Belgium, Croatia, France, Germany, Norway, Slovenia and Spain, and addresses the mechanical modelling, mathematical formulations and numerical methods for highly flexible slender structures like yarns, cables, hoses or ropes that are essential parts of high performance engineering systems. The project brings mechanical engineers and mathematicians together around major challenges in industrial applications and open‐source simulation software development.

It establishes an innovative modelling chain starting from detailed 3D modelling and experimental work to build validated 1D nonlinear rod models, which are then brought to a system level simulation thanks to the outstanding numerical properties of the developed algorithms. This holistic approach combines advanced concepts in experimental and theoretical structural mechanics, non‐smooth dynamics, computational geometry, discretisation methods and geometric numerical integration.

The 14 researchers are employed on fixed-term, full-time employment contracts and will work on their own research projects in THREAD with the aim to obtain a doctoral degree. The salary is paid in accordance with the Marie Skłodowska‐Curie Programme regulations for Early Stage Researchers. Funding for 36 months employment is available.

Deadline for applications: January 15, 2020

Further information and instructions on how to apply can be found at

https://thread-etn.eu/apply/

For general information on the Innovative Training Network THREAD, we refer to

https://thread-etn.eu/

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