Students (F/m/d) in Physics-based Machine - Munich, Deutschland - Technische Universität München

Technische Universität München

Geprüftes Unternehmen

Munich, Deutschland

vor 6 Tagen

Geschrieben von:

Lena Wagner

beBee Recruiter

Beschreibung

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.

Scientific environment

Project description

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.

Your profile
- experience with machine learning and basic knowledge of statistical mechanics/physics
- proficiency in Python programming
- fluent in spoken and written English(knowledge of German is not required
- strong motivation and commitment to scientific excellence

Our offer

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?

Hinweis zum Datenschutz:

Im Rahmen Ihrer Bewerbung um eine Stelle an der Technischen Universität München (TUM) übermitteln Sie personenbezogene Daten. Beachten Sie bitte hierzu unsere Datenschutzhinweise gemäß Art. 13 Datenschutz-Grundverordnung (DSGVO) zur Erhebung und Verarbeitung von personenbezogenen Daten im Rahmen Ihrer Bewerbung. Durch die Übermittlung Ihrer Bewerbung bestätigen Sie, dass Sie die Datenschutzhinweise der TUM zur Kenntnis genommen haben.

Mehr Information:

**PhD_ERC_SupraModel