20.01.2023, Wissenschaftliches Personal
The Professorship for Multiscale Modeling of Fluid Materials at TUM Campus Garching is looking for two Ph.D. students (f/m/d) in Physics-based Machine Learning, 100% with starting date in April 2023.
The Multiscale Modeling of Fluid Materials group provides a unique interdisciplinary environment, integrating state-of-the-art machine learning, multiscale simulations, and statistical physics to understand and exploit soft matter systems. The group, led by Prof. Julija Zavadlav, is part of the School of Engineering and Design at one of Europe's top universities, the Technical University of Munich. For more information, visit www. epc.ed.tum.de/en/mfm.
The positions are offered in the context of an ERC Starting Grant project called ‘SupraModel: Peptide-based Su-pramolecular Co-assembly Design: Multiscale Machine Learning Modeling Approach.' ERC Starting Grant is a highly competitive funding program by the European Research Council (ERC) to support ground-breaking research in Europe.
SupraModel proposes a novel computational framework that will enable a rational design of peptide-based mate-rials used in emerging technologies ranging from drug delivery to soft semiconductor devices. The successful ap- plicant will work with other project members to develop next-generation molecular models where deep neural networks predict molecular interactions. These models enable molecular simulations at an unprecedented accuracy, giving quantitative insight into physical processes at the nanoscale, and will be used to advance supramolecular peptide-based materials.
The position is open to candidates holding (or who will hold) a M.Sc. degree in physics, chemistry, applied mathe-matics, or related fields. We are particularly interested in applicants with:
Join our young research group with a scientifically stimulating atmosphere and participate in cutting-edge physics-aware machine learning research! The position is available for three years, with an expected starting date of April 2023. Salary is based on the Free State of Bavaria public service wage agreement (100%, TV-L E13, starting at a higher level 2). Additional funding is available for scientific equipment and conference travel expenses.
How to apply?
Please send your application or questions regarding the position by e-mail to [email protected] The ap-plication should include (in one single PDF document): a cover letter stating your motivation and background for applying for this Ph.D. position, a CV, certificates, transcript of grades, and contact information of two references.
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Kontakt: [email protected]Mehr Information
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