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Max Planck Institute for Dynamics and Self-Organization, Göttingen | Gottingen, Niedersachsen | Germany | 23 days ago
model systems. Your profile Master’s degree (or equivalent) in Physics, Applied Mathematics, Mechanical Engineering, or a related field Strong interest in fluid dynamics, turbulence, and nonlinear
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Essential qualifications A master's degree in Physics, Electrical Engineering, Chemistry, or a related field and the ability to design, execute, and troubleshoot complex experimental research. What we offer A
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3 year, full-time PhD studentship Eligibility: Home UK/Settled and Pre-settled Bursary p.a: The stipend is at the UKRI rate (current 2026/27 bursary rate is £21,805) University fees and bench fees
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offer You will conduct your research in Empa’s laboratories in Dübendorf and will be enrolled in the doctoral program in Electrical Engineering at ETH Zurich. The project is part of the National Centre
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validate AI-generated scenarios against current state-of-the-art urban planning tools to identify and mitigate biases. Develop methodological recommendations for the societal readiness of technology in urban
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-based courses at bachelor’s, master’s, and PhD level in Arctic biology, geology, geophysics, technology, and safety. UNIS makes use of its year-round presence in the unique Arctic environment, using
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in Physics, Materials Science, Electrical Engineering, or related disciplines, who are motivated by fundamental questions and experimental research. It will particularly appeal to students interested
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Materials science and technology are our passion. With our cutting-edge research, Empa's around 1,100 employees make essential contributions to the well-being of society for a future worth living
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, deterministic systems. You model them, you optimize them, you operate them. That paradigm is breaking down. As electricity replaces fossil fuels, industrial systems must operate under fundamentally new conditions
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Generative Artificial Intelligence (GAI) is rapidly transforming higher education, yet most current GAI systems are designed to support individual productivity rather than collaborative learning