Machine-Learned Potentials for Complex Atomistic Simulations at Karlsruhe Institute of Technology

As a successful candidate, you will work on the development of machine learning methods in the AI for Materials Science (AiMat) group of Pascal Friederich. You will cooperate with partners in the DFG Cluster of Excellence “3D Matter Made to Order”, focusing on the development of machine learning potentials for complex atomistic simulations of laser 3D printing processes. In particular, you will perform research in the emerging area of accelerated atomistic simulations, general-purpose machine learning potentials, and model distillation. You will collaborate with experimental partners in 3DMM2O project on application areas of ML potentials. Your work will include the preparation of scientific manuscripts and the presentation of your results at workshops and conferences.