Research assistant (postdoc) (m/f/d)

You will be working on the project 'Molecules move!'. Your tasks include training neural network potentials based on DFT data, implementing Girsanov reweighting in molecular dynamics packages, simulating chemical reactions in solvents and on surfaces, as well as publishing the results.

Completed university degree (M.Sc. or Diploma) and PhD (completed or close to completion) in Computational or Theoretical Chemistry, Computational Physics or a related subject.

Desirable:

• excellent PhD and a strong publication record
• Experience in one or more of the following areas:
• parametrization of machine-learned force fields
• machine learning, in particular neural networks
• simulation of molecular systems, in particular enhanced-sampling and reweighting techniques.
• quantum mechanical calculations, in particular DFT
• programming, preferably Python- LaTeX
• very good English language skills, both spoken and written.

Application documents:

• Motivation letter with information about previous research projects and future goals
• Curriculum vitae (CV)
• Publication list
• Contact details of two referees/former supervisors

For further information, please contact Prof. Dr. Bettina Keller (bettina.keller@fu-berlin.de / 838 50614).

Applications should be sent by e-mail, together with significant documents, indicating the reference code, no later than November 25th, 2024 in PDF format (preferably as one document) to Prof. Dr. Bettina Keller: bettina.keller@fu-berlin.de or postal to

Freie Universität Berlin
Fachbereich Biologie, Chemie, Pharmazie
Institut für Chemie und Biochemie
AG Keller - VW Momentum “Molecules move!”
Prof. Dr. Bettina Keller
Arnimallee 22
14195 Berlin (Dahlem)

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Freie Universität Berlin is an equal opportunity employer.