PhD positions
What we offer
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Full-time position according to TV-L E13
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Young and ambitious research group with a very collaborative and international team of PhD students and Postdocs
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Exciting research topics, state-of-the-art machine learning methods, applied to highly relevant challenges in chemistry and materials science
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National and international collaborations in machine learning, materials science and chemistry
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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
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You will have the chance to participate in teaching activities on the Bachelor's and Master's level in computer science (German or English)
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You will have the opportunity to present your research on international conferences, project meetings and workshops
What we are looking for
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Highly motivated young researchers (female/male/diverse)
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Background and practical experience in computer science and machine learning, interest in graph neural networks and generative models
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Interest to learn more about exciting application areas of machine learning in materials science and chemistry
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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.