Postdoc positions available
Prospective candidates are invited to contact:
Prof. Ursula Röthlisberger
Laboratory of Computational Chemistry & Biochemistry
Email [email protected]
Please, kindly attach a detailed CV and a presentation letter.
Computational material science
The successful candidate will be involved in applications of classical and first-principles based simulations to study perovskite based photovoltaic materials and materials for molecular electronics.
The ideal candidate has a background in either computational physics, condensed matter theory, computational materials science, computational chemistry and/or machine learning. The project is performed in close collaboration with the group of Michael Graetzel at EPFL and previous experience in interacting with experimental groups is an advantage.
Development of multiscale molecular dynamics methods
The successful candidate will be involved in the development of first-principles based multiscale (QM/MM, QM/QM, QM/QM/MM) simulations and their combination with on-the-fly machine learning models for ground and excited state dynamics. These methods will be applied to problems in biology and materials science. The ideal candidate has a background in either computational (bio)physics, condensed matter theory, computational material science, computational chemistry and/or machine learning. A good programming experience (C++, Fortran) is a strong prerequisite.