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Learning Your role and goals Trustworthy & Adversarial Computing Lab ( https://taclab.aalto.fi ) led by Sebastian Szyller is looking for a doctoral researcher (PhD student) to pursue a degree in
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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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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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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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: 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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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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, and decide reliably in complex, human–robot shared environments. The Mobile Robotics ( https://www.aalto.fi/en/department-of-electrical-engineering-and-automation/mobile-robotics ) and Intelligent
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fleet can act as one Virtual Power Plant. Read more about the project and other participants here: https://aegis-dn.eu/ Your role: You will be working on “End-to-End Energy Modeling for Distributed AI
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presentation skills in English. Skills in Finnish are seen as an asset. What we offer 2-year fixed-term contract with the possibility of an extension following a successful midterm review: https
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of Electrical Engineering. Thus, please see the student information and admission criteria at https://www.aalto.fi/en/study-options/aalto-doctoral-programme-in-electrical-engineering . Desired