RWTH Aachen - Chair for Computational Analysis of Technical Systems
Research aim at our institute is to bridge the gap between simulation-based and experimental investigations for a variety of engineering problems. Focus is the development and assessment of both physical models and numerical methods. In most cases, the numerical methods are connected to complex applications. A selection of important research fields are stabilized finite element methods for fluids, numerical shape optimization and non-Newtonian material models. Please refer to www.cats.rwth-aachen.de for further information.
Simulation techniques have become an important instrument for the development, design and quality assurance of engineering components. Since its foundation in 2004, our institute conducts active research at the interface between mechanical engineering and applied mathematics. Our main focus is the development and implementation of numerical methods. Currently, we are searching for new doctoral candidates to complement our production engineering group.
Your task will be to include modern methods of machine learning into the engineering context, e.g., primary manufacturing processes. In particular, this contains deep neural networks as a method of model order reduction and reinforcement learning as a means of process design.
Requirement for this position is a diploma or master’s degree in CES, engineering, applied mathematics, physics or a similar subject with a superior academic record. Practical programming experience in Fortran, C or C++ as well as with parallelization (MPI or OpenMP) are of advantage. Familiarity with UNIX operating system would be ideal. We expect you to contribute to general tasks at the institute, such as teaching and advising master or project theses.
The position is for one year and is to be filled as soon as possible. There is an option of extension for up to four more years. This is a full-time position. It is also available as part-time employment per request.
The successful candidate has the opportunity to pursue a doctoral degree.
The salary corresponds to level EG 13 TV-L.
RWTH Aachen University is certified as a "Family-Friendly University". We welcome applications from all suitably qualified candidates regardless of gender. We particularly welcome and encourage applications from women, disabled persons and ethnic minority groups, recognizing they are underrepresented across RWTH Aachen University. The principles of fair and open competition apply and appointments will be made on merit. RWTH Aachen is an equal opportunities employer. We therefore ask you not to include a photo in your application. For information on the collection of personal data pursuant to Articles 13 and 14 of the General Data Protection Regulation (GDPR), please visit: http://www.rwth-aachen.de/dsgvo-information-bewerbung
Please send your application by May 15, 2019 to
Lehrstuhl für computergestützte Analyse technischer Systeme
RWTH Aachen University
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