Computational Chemist (m/f/d)

Molecular modelling of basic oils and additives Support for the development of new raw materials for lubrication Simulation of interface, adsorption and tribochemical processes Implementation and evaluation of molecular dynamic simulations Structure of QSPR and Machine Learning Models to Predict Tribological Properties Virtual screening of new materials and lubricating oil formulations Working with digital twins of tribological systems Support in the interpretation of analytical data Implementation of projects with external partners Close cooperation with development and application technology

Completed studies (ideally with doctoral studies) in chemistry, Computational Chemistry, Physics or Material Sciences Knowledge in at least one of the following areas: Density Functional Theory (DFT), Molecular Dynamics (MD), Reactive Power Fields (ReaxFF), QSPR or Scientific Machine Learning programming knowledge, preferably in Python, as well as experience in scientific data evaluation and their automation Interest in industrial research and practical product development Ability to interdisciplinary cooperation in a technical environment Structured, analytical working and pleasure in complex physico-chemical issues Very good communication skills in German and English

Building a Modern Computational Chemistry Focus on Lubricant Development Cooperation with specialists from tribology, lubricant chemistry and AI Access to modern simulation and data analysis tools High industrial relevance of research results Flexible work models and mobile work Attractive remuneration and training opportunities