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4‑year PhD position in the area of machine learning and computer simulations. The focus of the PhD project will lie on developing machine learning models for clustering, classification, regression and
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, simulation methods and data science techniques, all the while building bridges between mathematical sciences and an applied discipline. We are currently offering 2 DAAD GSSP scholarships. Addressing global
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chemistry, physics, or a related field, completed before the start of employment. A sound knowledge of simulation methods and actinide chemistry is required. Application deadline: January 9, 2026 To apply
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. Simulated sensor data from a digital shadow will be incorporated to maintain cyber-physical consistency between the UAVs’ status in the model and in the real world. A key goal is to develop methods
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missions. Prior experience with methods of statistical inference using simulations or anomaly searches with machine-learning approaches is desirable.
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well as interdisciplinary and varied tasks. The opportunity not only to develop innovative software engineering approaches but also to practically test them directly on real test vehicles – from first simulation to real
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. Requirements: university degree (master or diploma) in chemistry or physics and profound knowledge in computational and theoretical physics/chemistry A sound knowledge of simulation methods and actinide