Fachbereich Physik – Institut für Theoretische Physik AG Clementi – Theoretische und rechnergestützte BiophysikResearch Assistant (Praedoc) (m/f/d) with 3/4-part-time job limited to 31.05.2025 (Subject to funding approval) Entgeltgruppe 13 TV-L FU reference code: Einstein_2023_AG_Clementi Bewerbungsende: 28.11.2022

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.

Job description:
– use of machine learning approaches for transferable coarse-grained models of proteins and application to protein folding systems (WP7)
– application of specially developed approaches to define coarse-grained protein models with machine learning (WP8)
The project is part of the research of Clementi’s group supported by the Einstein Foundation Berlin. The candidate will use machine learning approaches (both deep neural network architectures and kernel methods) 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.

Requirements:
Completed scientific studies and University degree (M.sc. or equivalent) in Physics.

Desirable:
Solid background in theoretical physics, and previous experience with the development and analysis of complex network models and dimensionality reduction techniques.
Good knowledge of object-oriented programming languages (C++ and Phyton).
English language fluent, spoken and written (C1).

Applications should be sent by e-mail, together with significant documents, indicating the reference code, in PDF format (preferably as one document) to Frau Prof. Dr. Cecilia Clementi: [email protected] or postal to

Freie Universität Berlin

Fachbereich Physik

Institut für Theoretische Physik

AG Clementi – Theoretische und rechnergestützte Biophysik

Frau Prof. Dr. Cecilia Clementi

Arnimallee 14

14195 Berlin (Dahlem)

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