Fachbereich Physik - Institut für Theoretische Physik AG Clementi - Theoretische und rechnergestützte Biophysik
Research Assistant (Praedoc) (m/f/d) full-time job limited to 31.03.2023 (subject to funding approval) Entgeltgruppe 13 TV-L FU Reference code: WiMi_Daedalus_Clementi
The Clementi's group in the Physics Department at Freie Universität Berlin seeks a predoctoral researcher to work on the development and application of coarse-graining methodologies to study macromolecular dynamics with machine learning. Our group works on the definition and implementation of strategies to study complex biophysical processes on long timescales. We use data-driven methods for systematic coarse-graining of macromolecular systems, to bridge molecular and cellular scales. We work on a theoretical formulation to exploit the complementary information that can be obtained in simulation and experiment, to combine the approximate but high-resolution structural and dynamical information from computational models with the “exact” but lower resolution information available from experiments.
- Coarse-grained models for macromolecular dynamics
- Deep neural network design, implementation, and training
The project is part of the research of Clementi's group. The candidate will use machine learning approaches (mostly deep neural network architectures) to design representations and transferable energy models for proteins. Different resolutions will be explored. The models will then be used to study specific protein systems in collaboration with experimental groups.
Completed scientific studies and University degree (M.sc.) in physics.
Previous experience with protein modeling and coarse-grained molecular dynamics simulations is desired.
Excellent theoretical and practical experience with machine learning methods is desirable, in particular transferable network architectures, like SchNet, for the design of transferable models. Previous publications in peer-reviewed journals.
English language at an excellent level, fluent, spoken, and written.
Stellenauschreibung vom: 28.02.2021