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holistic, interdisciplinary approach that bridges computational social science and computational mental health to capture fine-grained behavioral data, uncover underlying mechanisms, and design
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from estimation and optimization theory to hardware design. The specific topic of the project falls in the intersection of statistical signal processing and applied mathematics and is in particular
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utilized to explore how quantum protocols can be adapted to mechanical sensors in the quantum regime for various applications. Your role The experimental work in all these projects involves design of
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. This is an exciting opportunity to work on developing GaAs PICs in a project that includes everything from III-V laser epitaxy design and simulations, and fabrication, to system level PIC lidar tests and
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Structures (FiRST). The starting date is March 1, 2026, or as mutually agreed. The positions are for a period of two years, with a possible one-year extension. Your experience We expect you to have a PhD
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guidance of early-career researchers and students within the group. To succeed in this role, you should have: A recently obtained PhD (max 5 years) in Electrochemistry, Chemistry, Materials Science, or a
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to take part in the supervision of PhD students and the teaching activities of the research group. Your network and team Currently, our research group consists of 1 professor, 1 lecturer, 1 staff scientist
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Global mm-VLBI Array . You will join a research group that has several PhD students and postdocs.There are also many international collaborators, and an excellent possibility to network and participate in
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and power converters. Our work spans from fundamental modelling and analysis to advanced control design and system optimization. Our specialty is developing embedded control, estimation, and