PhD Student in Data-Driven Materials Design | PhD Student (m/w/d)

Job Summary

The INM - Leibniz Institute for New Materials is seeking motivated PhD students to join the Data-Driven Materials Design group. In this role, you will conduct independent research focusing on the intersection of machine learning and materials science. Your day-to-day work will involve developing and implementing novel machine learning methods to model molecules and materials, applying these techniques to solve complex scientific problems, and collaborating with an interdisciplinary team of experts in chemistry, physics, and computer science. You will also contribute to scientific publications and present your findings at international conferences. This position is ideal for candidates with a strong background in machine learning, computational science, or atomistic simulations who are eager to work in a cutting-edge, collaborative environment. You will enjoy significant scientific freedom to shape your research project while benefiting from access to state-of-the-art computational infrastructure and a position within a highly regarded research institution.