Research Assistant (E13, IV-382/24)

The Berlin Institute for the Foundations of Learning and Data (BIFOLD) at TU Berlin (Prof. Klaus Robert Müller) is seeking a Research Associate in Machine Learning. The project will be carried out in the research group "Machine Learning for Molecular Simulation in Quantum Chemistry” led by Dr. Stefan Chmiela.

Dr. Chmiela’s team is engaged in the modeling of multi-body systems with applications in quantum chemistry, particularly for predicting solutions to the Schrödinger equation. The overarching goal of the team is the development of models to accelerate accurate molecular dynamics simulations for the calculation of dynamic and thermodynamic observables of physical systems.

Tasks

Independent and responsible research in the field of machine learning. The goal of the advertised project is the development of scalable methods for modeling atomic interactions in quantum chemistry. The focus is on dimension reduction of partial differential equations to describe essential properties of electronic systems at the atomic level.

Salary grade: TV-L 13, Berliner Hochschulen
Starting date: Earliest possible (limited for 5 years)
Closing date: December 31, 2024
Full job posting: IV-382/24