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07.04.2026, Academic staff PhD position at the interface of computational physics, machine learning, and experimental reactor design. The project focuses on developing PINN-based simulations
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/postgraduate level as well as funding acquisition and (global) outreach, if desired. International networking and collaborations are regarded as an integral part of the PhD research experience and are explicitly
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theoretical and computational methods to describe electronic, optical, and transport properties of complex materials. The first advertised project (a) is dedicated to the methodological enhancement
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Interact with a wide network of peers, scientists and stakeholders both nationally and internationally 65% position (26h employment per week) in remuneration group TV-L E13, for a period of 3.5 years
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, Mechanical Engineering, Electrical Engineering, Computer Engineering, or a closely related discipline. Strong research interest in telerobotics, shared control, human–robot interaction, or networked control
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environment where both personal and professional growth are encouraged and supported. The department maintains an extensive network in research and industry, from which you will benefit both during and after
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. Experience in programming (in particular, Python) and an interest in machine learning, data analysis, or scientific computing are expected. Prior experience with machine learning or optimization methods is
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digital twin targeting industry scale wind turbines within the European Horizon Europe MSCA Doctoral Network "Coupled Problems for Decarbonization in Industry and Power Generation" (COMBINE) The position
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robustness against various types of jamming. Integrated Sensing and Communication (ISAC) systems are becoming a key enabling technology for next‑generation wireless networks. However, these systems
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Communication and Learning-based Control for Embodied Networked Intelligence (6G-life) (ID: TUEILSY-PHD15) Safe and capable humanoids in interaction-rich scenarios (ID: TUEILSY-PHD12) Act Based on What You See