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for geometry assurance – integrating live sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry
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research on the development of new inference methods and algorithms for wide classes of stochastic models. However, research will be conducted in collaboration with biologically oriented researches allowing
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). Completed courses in signal processing, radar or communication systems. Communication skills in Swedish are valuable, but not required. What you will do Develop radar signal processing and algorithms
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sensor geometric sensor data with simulation for real-time control and adaptive assembly. This builds on existing work within the group on digital twins for geometry assurance. AI for automatic tolerance
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the world, ii) developing AI+Physics end-to-end reconstruction algorithms that will enable a new regime of spatiotemporal hierarchical characterization. The project is mainly computational with
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, and providers of enabling technology, e.g. sensors and AI for data capture and analysis, respectively. Who we are looking for The following requirements are mandatory: To qualify as a doctoral student
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Do you want to contribute to groundbreaking research in the development of a theoretical framework and numerical algorithms for evolving stochastic manifolds? This is an exciting opportunity for a
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within a Research Infrastructure? No Offer Description Do you want to contribute to top quality medical research? We are seeking a scholarship fellow in the field of electrochemical sensors to join an
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and significant piece of information to the right point of computation (or actuation) at the correct moment in time. To address this challenge, you will focus on developing theoretical and algorithmic
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, system-wide efficient, as well as fair for heterogeneous participants. Addressing these challenges requires new mathematical models and algorithms that blend optimization, game theory, and control with