Postdoctoral Researcher in atomistic modelling and machine learning for multicomponent alloy
Ruhr-Universität Bochum
Bochum, Germany
3 days ago
Role details
Contract type
Temporary contract Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
EnglishJob location
Bochum, Germany
Tech stack
Computer Programming
Python
Machine Learning
Monte Carlo Methods
Job description
- Perform DFT and MLIP simulations for magnetic multicomponent alloys.
- Perform molecular dynamics and Monte Carlo simulations.
- Developing models to compute phase stability, including magnetic and lattice excitations.
- Implement methods in Python workflows.
- Publish and present results in international journals and conferences.
Requirements
- PhD in physics, materials science, computational engineering, or chemistry, with a strong background in atomistic or computational materials modeling.
- Experience in density functional theory calculations and machine-learning interatomic potentials.
- Experience with LAMMPS, molecular dynamics, and Monte Carlo simulations, as well as with the simulation of magnetic systems and magnetic models.
- Programming experience in Python.
