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). The project requires knowledge in
- programming (e.g., C/C++, Python),
- atomistic simulation,
and you are enthusiastic to develop and apply new AI methods to model material microstructures and by that accelerate the design of innovative materials.
Tasks & Responsibilietes
Machine-learning interatomic potentials (MLIPs) have been a breakthrough for providing the quantitative accuracy of quantum mechanics to large-scale atomistic simulations. However, they suffer from a very high complexity (e.g., millions of parameters) when applied to systems with a large chemical space, also involving other quantum-mechanical phenomena like magnetism.
You will explore with MLIPs atomistic systems of microstructural features up to date infeasible with first principles methods, adapt and apply new approaches for MLIPs, and develop microstructure models e.g., for grain boundaries. This is key to design novel advanced materials. The research takes place in a collaborative and international scientific network and allows 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). The project is planned for a duration of at least 3 years.
Please send us your application and a detailed resume. We are looking forward to it!
We would like to especially encourage women to apply.
bewerbung(at)mcl.at