Explainable AI Methods for Self-Driving Labs 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 Priority Program “Molecular Machine Learning”, specifically with experimental partners in the project “Design of photocatalytic systems for CO2 reduction driven by synergistic cooperation of machine learning and automated labs” at KIT. In particular, you will perform research in the emerging area of self-explaining graph neural networks for molecules and their integration in automated synthesis and characterization workflows in cooperation with one of the world-leading automated synthesis labs at the Institute of Organic Chemistry at KIT. Your work will include the preparation of scientific manuscripts and the presentation of your results at workshops and conferences.