Your Profile
You have or will shortly receive a master degree in any of the computational sciences (e.g., computational materials science/physics/ chemistry, applied mathematics, engineering). You have knowledge in
- programming (e.g., python),
- atomistic simulation (e.g., DFT, LAMMPS).
You are enthusiastic to develop new approaches and AI methods to accelerate the design of innovative and sustainable materials.
Tasks & Responsibilities
The aim of the project is to develop combined computational/experimental workflows for an AIsupported design of sustainable catalysis materials free of rare earth elements.
You will apply active learning design loops for materials design informed by ab initio modeling and machine-learned interatomic potentials to find promising new materials. The multi-scale materials design workflows will be developed together with experts from simulation and experiment. The research will take part in a dynamic collaborative scientific network and include options for research stays abroad.
Our offer:
- flexible working hours
- further training/education
- home office
- employee events
- cooperation with Firmenradl
A permanent employment contract with immediate start and a gross salary per year of € 52,862.74 (40h/week).
Please send us your application and a detailed resume. We are looking forward to it! We would like to especially encourage women to apply.