Postdoc (f/m/d): A unique opportunity to join the Multiscale Modeling of Fluid Materials group at the Technical University of Munich (TUM) School of Engineering and Design, in the context of an ERC Starting Grant project. The successful applicant will work on cutting-edge physics-aware machine learning research to advance supramolecular peptide-based materials.
Designation: Postdoctoral Researcher
Research Area: Physics-based Machine Learning
Location: Technical University of Munich, School of Engineering and Design
Eligibility/Qualification:
- Ph.D. degree in computational physics/chemistry, machine learning, or related fields
- Strong background in molecular simulations, statistical physics, machine learning, and Bayesian methods
- Proficiency in programming languages, especially Python
- Fluent in spoken and written English (knowledge of German not required)
- Strong motivation and commitment to scientific excellence
Job Description:
Postdoc (f/m/d) in Physics-based Machine Learning
- Work with other project members to advance supramolecular peptide-based materials using next-generation in-silico methods
- Employ deep learning, Bayesian uncertainty quantification, and multiscale modeling and simulation
- Participate in a scientifically stimulating atmosphere in a young research group
Duration: Two years, starting April 2023
Salary: Based on the Free State of Bavaria public service wage agreement (100%, TV-L E13, level 3) with additional funding available for scientific equipment and conference travel expenses.
How to Apply:
- Email application to info.mmfm@mw.tum.de
- Application should include (in one single PDF document):
- Cover letter stating motivation and background
- CV containing a list of publications, certificates
- Contact information of two references
