As a successful candidate, you will work on the development of machine learning methods in the AI for Materials Science (AiMat) group of Prof. Dr. Pascal Friederich.

Your responsibilities will include:

• Developing modern machine learning methods that open up new avenues for analysing and designing molecular systems
• Actively shaping collaboration in the DFG Priority Programme ‘Molecular Machine Learning’, in particular with the experimental partners of the project ‘Design of photocatalytic systems for CO₂ reduction through synergistic collaboration between machine learning and automated laboratories’ at KIT
• Researching and further developing self-explanatory graphical neural networks for molecules and integrating them into automated synthesis and characterisation workflows in order to efficiently advance data-driven research
• Cooperating with the automated synthesis laboratories at the Institute of Organic Chemistry In addition to scientific work, there is the opportunity of pursuing a PhD.

This research center is part of the Helmholtz Association of German Research Centers. With more than 42,000 employees and an annual budget of over € 5 billion, the Helmholtz Association is Germany's largest scientific organisation.