PhD positions

What we offer

• Full-time position according to TV-L E13

• Young and ambitious research group with a very collaborative and international team of PhD students and Postdocs

• Exciting research topics, state-of-the-art machine learning methods, applied to highly relevant challenges in chemistry and materials science

• National and international collaborations in machine learning, materials science and chemistry

• Support through the Karlsruhe House of Young Scientists (KHYS), including workshops and financial support for stays abroad

Your tasks

• You will be able to work on the development of machine learning models, in particular
  • Graph neural networks for property prediction of materials and molecules (deep graph representation learning models on very large datasets)
  • Generative models for inverse design (graph generation, e.g. based on diffusion)
  • Explainable methods for extraction of scientific knowledge from data, specifically graph datasets

• You will have the chance to participate in teaching activities on the Bachelor's and Master's level in computer science (German or English)

• You will have the opportunity to present your research on international conferences, project meetings and workshops

What we are looking for

• Highly motivated young researchers (female/male/diverse)

• Background and practical experience in computer science and machine learning, interest in graph neural networks and generative models

• Interest to learn more about exciting application areas of machine learning in materials science and chemistry

• Creativity, independence, good teamwork and communication skills, motivation to make a change and have an impact in research

Are you interested?

Then please contact pascal.friederich∂kit.edu for information on current or anticipated open PhD positions.