The Cyber-Physical Simulation Group at the Department of Mechanical Engineering at TU Darmstadt in Germany is looking for an excellent candidate interested in doing research on a Ph.D. in the areas of computational mechanics and machine learning.
Female candidates are particularly encouraged to apply.
Potential research directions include:
- Nonlinear, inelastic, or multiphysics constitutive modeling with machine learning methods
- Homogenization and multiscale simulation of metamaterials and composites
- Computational methods for efficient microstructure modeling and simulation
- Design and topology optimization of architected materials
- Model order reduction of dynamic systems with machine learning methods
Required qualifications for the position are:
- Masters degree in a relevant subject (mechanical engineering, computational engineering, applied mathematics, etc.) from a reputable university and with excellent grades
- Strong background in at least 3 of the following subjects:
- Nonlinear continuum mechanics or structural mechanics (plasticity or multiphysics are a plus)
- Numerical analysis and finite element methods (higher-order methods or isogeometric analysis are a plus)
- (Physics-informed) Machine learning (in particular, artificial neural networks)
- Multiscale methods and homogenization
- Design and topology optimization
- Dynamic systems, model order reduction, and numerics of ODEs
- Strong programming skills in MATLAB, Python, or C++ (familiarity with open-source FE codes such as FENiCS, NGSolve, Moose, etc. is a plus)
- Familiarity with commercial FE software such as ANSYS, Abaqus or COMSOL
- Proficiency in English. German language skills are a plus, but not required
The successful candidate will be affiliated with the Graduate School Computational Engineering.
To apply, please send your documents including a cover letter, CV, and bachelor and master certificates and transcripts by email to weeger [at] cps.tu-darmstadt.de (Prof. Dr. Oliver Weeger) with the subject "Ph.D. position in computational mechanics and machine learning" by Monday, February 28, 2022. Your cover letter should be no longer than 1-2 pages and clearly state your research interests and previous experience, as well as your motivation to do a Ph.D. in our group. The expected starting date will be September 2022 or earlier.