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, Position 2 on adaptive policies, and both will work jointly to integrate the two approaches into a single RL algorithm. While the work is mainly methodological and theoretically focused, our Aalto robot lab
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-standard tools such as Matlab Simulink to connect with existing control systems and support SIL/MIL simulation, and the resulting algorithm must run efficiently within the CPU constraints of an embedded
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work jointly to integrate the two approaches into a single RL algorithm. While the work is mainly methodological and theoretically focused, our Aalto robot lab offers the possibility to evaluate the
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equivalent qualification in ecology, evolutionary biology, conservation biology, zoology, environmental science, biogeography or another relevant field. A BSc (Hons) may also qualify if it permits entry
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boundaries between field biology, natural history collections and quantitative ecology. The successful applicant should have: A relevant MSc or equivalent qualification in ecology, evolutionary biology
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models of analog and RF circuits in Python Validate the developed models against circuit simulations and measurements Perform hardware-algorithm co-design for AI-driven 6G transmitters Publish and
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RF circuits in Python Validate the developed models against circuit simulations and measurements Perform hardware-algorithm co-design for AI-driven 6G transmitters Publish and present your results at
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employment) in ecology, evolutionary biology, conservation biology, biology, environmental sciences, or another relevant field Strong skills and experience in handling and analyzing ecological or
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, and global environmental change. The successful applicant must have: A Master's degree (completed before the start of employment) in ecology, evolutionary biology, conservation biology, biology