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in thermodynamics, optimization, and control theory. Strong understanding of mathematical modeling, numerical optimization, and/or model predictive control (MPC). Experience working with large-scale
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Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We are looking for a motivated PhD candidate to join the
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We’re looking for a motivated PhD student with a Master’s in Robotics, Control Theory, Applied Math, or Mechanical Engineering eager to work on model-based control of soft robots Job description We
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) datasets. Capacity to convincingly connect concepts and theory to tangible heritage. General knowledge of (bio)archaeological subdisciplines. Previous work on cultural heritage and/or public archaeology. We
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future of their village communities. It will do so through an interdisciplinary framework that builds upon theories and methods from cultural and rural geography and media literacy education. The project
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background, interests, and experience make you a good fit. Whether your strengths lie in environmental or social psychology, communication science or any other discipline related to behavior change—we’re
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knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel transitions and requires an interest in both theory development and engagement with practice. The PhD
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/ Robust) Combinatorial Optimization, Game Theory, and Network Theory, as well as Artificial Intelligence. Potentially, scenarios could be simulated using agent-based, discrete-event, or other techniques
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to generate the necessary knowledge and tools to equip local decisionmakers to better deal with conflicting values in parallel transitions and requires an interest in both theory development and engagement with
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student engagement and learning, and fosters an inclusive community by using contemporary learning theories, evidence-based practices, and cutting-edge educational innovations. The Centre works closely with