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to exoplanet discovery and space‑weather environments. You will work in Aalto’s High‑Performance Computing Lab within the PEAS (Population of Exoplanets around Active Suns) consortium alongside leading teams in
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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-Sailors) network, funded by the Marie Skłodowska-Curie Actions (MSCA) Doctoral Network Programme. The E-Sailors network is designed to train the next generation of Electric solar wind sail (E-sail
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outputs. The research methods will include experiment design, software implementation, running deep learning experiments on high-performance computing infrastructure, and evaluation using objective metrics
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performance analyses for backscatter-assisted non-line-of-sight positioning Applying detection and estimation theory to questions such as detectability, identifiability, positioning accuracy, and robustness
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uncertain sensing, with emphasis on safe operation among people, socially aware perception and behaviour prediction, and semantic/dynamic environment understanding. Our research environment offers close
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Aalto University is a place where science and art meet technology and business. We are building a sustainable future by conducting high-quality research and educating future experts. The Aalto
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, mathematical methods in engineering physics, and a demonstrated interest in numerical methods, and high-performance computing. Applicants should hold a master’s degree with excellent academic performance in
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different specific requirements, but we are generally interested in candidates with following merits: Track record of scientific publications; Prior experience with high-performance computing (HPC) systems
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from 50 countries, it is the largest department at Aalto University and the leading computer science research unit in northern Europe. Computer science research at Aalto University ranks high in several