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, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn new skills and
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or will complete a Master’s degree in computer science, machine learning, statistics, physics, engineering, applied mathematics, or other relevant fields, at least 3 months before the beginning of
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Fabrication: simulation, optimization, and learned surrogate models to design and fabricate efficient, bioinspired robots. Reinforcement Learning and Machine Learning: data-driven methods that let robots learn
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adapt to the rapidly changing environment' Claire Tsui, PhD student Evolutionary Biology / Ecology, Rijksuniversiteit Groningen Subject areas Ecology Who is it for Persons eligible to apply for a grant
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KNAW Trailblazers Fund All disciplines Early career scientists Early-career first-generation academics can apply for a grant of €5,000 (PhD candidates) or €10,000 (postdoctoral researchers or
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., contributions to one Daylight Academy Conference, one symposium and one open lecture at D-ARCH Profile PhD in the biomedical or health sciences, or other relevant disciplines Experience in relevant daylight
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Science , Mathematics , Physics Job Type Postdoctoral , Researcher Employment - Hours Full time Duration Fixed term Qualification PhD Sector Academia Apply on website (This will open in a new window from
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PhD or will complete your doctorate at least 3 months before the beginning of the fellowship program (latest by June 2027) You have a background in relevant AI fields or in one of the following