Postdoctoral Researcher; m,f,x in Machine Learning Potentials, Theoretical Chemistry II, Research

Postdoctoral Researcher (m,f,x) in Machine Learning Potentials, Theoretical Chemistry II

In order to fill a fixed-term position in full-time (39.83 hours/week = 100%) at the earliest possible date, we are looking for one

The Chair of Theoretical Chemistry II at Ruhr-Universität Bochum (RUB) is part of the Research Center Chemical Sciences and Sustainability of the Research Alliance Ruhr (RAR). The RAR is a joint initiative of TU Dortmund, Ruhr-Universität Bochum and Universität Duisburg-Essen funded by the state of North Rhine-Westphalia to expand the research landscape in the metropolitan area Ruhr. Our group is located close to the RUB-Campus in Bochum.

Our main research focus is the development and application of machine learning interatomic potentials for large-scale atomistic simulations in chemistry and materials science. We offer an exciting interdisciplinary and international research environment as well as excellent working conditions with state-of-the-art equipment and high-performance computing facilities.

Scope: full-time

Duration: fixed-term, 3 Jahre

Start: at the earliest possible date

Apply by:

• development and parameterization of machine learning interatomic potentials
• implementation of new algorithms in scientific software packages
• generation of training data using electronic structure calculations, atomistic simulations
• presentation of scientific results at conferences and in journal publications
• participation in national and international collaborative projects of the group

Your profile:

• you hold a PhD or doctoral degree in chemistry, physics, materials science or a related field
• you have programming experience (e.g. Python, Fortran) and are highly motivated to contribute to the development of new methods and scientific software
• you have a solid background in electronic structure calculations, e.g. density functional theory
• ideally, you have experience in atomistic simulation methods like molecular dynamics
• you have very good English skills (spoken and written), German language skills are desirable but not mandatory