PostDoc in Machine Learning-Powered Molecular Design

The Multiscale Modeling of Fluid Materials group at the Technical University of Munich is looking for talented and ambitious scientists interested in unique interdisciplinary research, integrating molecular simulations, machine learning, statistical physics, multiscale modeling, and uncertainty quantification. The position is offered in the context of the EU funded project, aiming to develop a novel computational framework that will enable a rational design of peptide-based materials used in emerging technologies ranging from drug delivery to soft semiconductor devices. For more information, visit our webpage www.epc.ed.tum.de/en/mfm.

Your profile

Ph.D. degree in computational physics/chemistry or machine learning (candidates that will soon obtain the degree are also welcome to apply)

strong publication record in molecular dynamics simulations and/or machine learning 

proficiency in programming (especially Python)

fluent in spoken and written English (knowledge of German is beneficial but not required)

Our offer

The position is available immediately and for a duration of two years (possible extension). Salary is based on the Free State of Bavaria public service wage agreement (100%, TV-L E13 level 3). Additional funding is available for scientific equipment and conference travel expenses. 

How to apply?

Please send your application by e-mail to [email protected] with the subject “PostDoc Application”. The application should include (in one single PDF document): a cover letter stating your motivation and background for applying for the position in our group, CV, publication list, certificates, transcript of grades, and contact information of two references. Applications will be reviewed on a rolling basis until the posi-tion is filled. For any questions, please do not hesitate to contact Prof. Dr. Julija Zavadlav ([email protected]).