PhD Positions in Data-Driven Materials Design and Machine Learning for Molecules and Materials INM-Leibniz Institute for New Materials in Germany

PhD positions are available in the Data-Driven Materials Design group at the INM-Leibniz Institute for New Materials, in collaboration with Saarland University and the German Research Center for Artificial Intelligence (DFKI).

The research focuses on machine learning methods to model and design molecules and materials. This is a strong fit for candidates interested in materials science, computer science, chemistry, and interdisciplinary computational research.

The post is announced by Viktor Zaverkin, Junior Professor at Saarland University, who works on Data-Driven Materials Design at INM and DFKI. The opportunity appears to be a PhD opening rather than a scholarship or postdoctoral role.

No deadline, funding amount, or detailed eligibility criteria are stated in the post. Interested applicants are directed to the LinkedIn post for the full information and application instructions.