Freie Universität Berlin - Fachbereich Physik - Institut für Theoretische Physik AG Clementi - Theoretische und rechnergestützte Biophysik
The Clementi's group in the Physics Department at Freie Universität Berlin seeks a postdoctoral researcher to work on the development and application of coarse-graining methodologies to study macromolecular dynamics with machine learning and experimental data.
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.
Research assistant (postdoc) (m/f/d)
limited to 30.11.2023
Entgeltgruppe 13 TV-L FU
reference code: WiMi_Einstein_Clementi_2021
Incorporation of NMR data into coarse-grained protein models, by extending the ODEM framework developed by Clementi’s group (WP1).
Incorporation of FRET single molecule experimental data into coarse-grained protein models, by using the ODEM framework (WP2).
Combination of different sources of experimental data (e.g., mutagenesis and FRET) into a single coarse-grained model for a protein system. Definition of the theoretical framework and practical application (WP4).
The project is part of the research of Clementi's group supported by the Einstein Foundation Berlin. The candidate will use machine learning approaches to design transferable energy models for large biomulecular complexes. Different resolutions will be explored. The models will then be used to study specific systems in collaboration with experimental groups.
Candidates must have a Ph.D. in Physics, Chemistry, Chemical Engineering, or related fields.
Previous experience with macromolecular modeling, statistical mechanics methods, and molecular dynamics simulations.
Excellent theoretical and practical experience with nucleic acid modeling and simulation of nucleic acids in a counterion atmosphere is desirable. Excellent theoretical and practical experience with machine learning methods is desirable.
English language fluent, spoken and written.
How to apply:
All applications quoting the reference code should be directed preferably electronically in one PDF-file no later than June 28th, 2021 to Mrs. Prof. Dr. Cecilia Clementi: email@example.com .
On the given occasion and for the duration of the essential on-site operations by Freie Universität Berlin, we kindly ask you to apply electronically by e-mail. The processing of a postal application cannot be guaranteed.
Freie Universität Berlin
Institut für Theoretische Physik
AG Clementi - Theoretische und rechnergestützte Biophysik
Mrs. Prof. Dr. Cecilia Clementi
14195 Berlin (Dahlem)
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Freie Universität Berlin is an equal opportunity employer.