A postdoctoral position in the newly founded Computational Biotechnology group at the RWTH-Aachen University in Germany is available. We offer a fixed-term contract up to two years.

Job Description

A bottom-up computational modeling of the structural, electronic, and biosensing properties of nanometer-sized pores in materials at the level of density functional theory, as well as ab initio and atomistic Molecular Dynamics is planned. The simulations will be supplemented by Machine Learning approaches for analyzing the simulation data, as well as relevant experimental data. The goal is to propose selective pore designs for detecting genomes and proteins. The outcome of this work will drive model-based discovery of novel materials with tunable properties.

Requirements

The position requires a university PhD degree in the Natural Sciences. Specifically, candidates with the following qualifications are encouraged to apply:

strong theoretical background in one of Physics/Chemistry/Biology

strong experience with quantum-mechanical and/or classical Molecular Dynamics simulations

experience with Machine Learning algorithms

above average academic achievements

enthusiasm to learn beyond your individual research topic

willingness to actively collaborate with other researchers and disseminate research in different formats.

Closing date is December 15, 2022. Please send your application together with all important documents CV, research statement, list of three referees) to Maria Fyta ([email protected]).