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reinforcement learning for real-world systems. The grant provides a stable, well-resourced four-year research environment to tackle a problem that classical RL theory is not built for: real systems don’t
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: Developing signal models, algorithms, and performance analyses for backscatter-assisted non-line-of-sight positioning Applying detection and estimation theory to questions such as detectability
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microscopy, theory, and molecular simulations. The doctoral researcher will join at an early stage of this research project, with a real opportunity to help establish the experiments and shape the
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are particularly looking for persons with a background, expertise and interest in III-V semiconductor device fabrication, epitaxy, optical packaging and theory e.g. in the form of GaAs solar cells and
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skills (especially probability theory, matrix algebra, calculus). Beyond technical experience, candidates are expected to have strong teamwork and collaboration skills, as well as competency in
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background in signals and systems as well as analog circuit theory Have strong logical thinking and good communication skills Have a working proficiency in English. (Finnish language is not required
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Finland (Safe Autonomy); wireless communications (5G/6G, slicing, TSN), information theory, and interest in how autonomy requirements shape NextG network design (Semantic Communication). If you are