26 building-physics-"https:"-"https:"-"https:"-"https:"-"https:" "Computer Vision Center" PhD research jobs in Netherlands
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control, visual landing and event-based vision, scientific deep learning for physical systems, spiking neural networks for event-based systems. Building on this experience, the research line on the theory
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Eindhoven University of Technology (TU/e) | Eindhoven, Provincie Noord-Brabant | Netherlands | about 2 months ago
recruitment date. Requirements A master's degree (or an equivalent university degree) in Electrical Engineering, Physics, Computer Science, Applied Mathematics, or a related field. A strong mathematical
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focus areas: Resource Security, GeoAI, Disaster Resilience, and Urban Futures. You will work with various physics-based models, ground observations and airborne and space-based earth observation images
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Are you excited to work on physics processes that have so far proven difficult to understand, while at the same time contributing to societal challenges? Then join our research team in advancing our
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" Are you a curious and motivated individual eager to explore the physics of life-like systems? Join us on a high-impact PhD journey into the fascinating world of autonomous motion, collective behavior
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European Magnetism Association EMA | Nijmegen, Provincie Gelderland | Netherlands | about 2 months ago
Home > JOBS Ultrafast Magnetism in Frustrated Materials [ All offers ] 2026-07-24 | PhD Lab/Company : HFML-FELIX Location : Nijmegen, Netherlands Yearly income : https://www.nwo-i.nl/en/vacancies/phd
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expertise will take 10%-20% of your time. Your profile You are highly motivated and an enthusiastic researcher (F/M) You have an MSc degree in electrical engineering, mechanical engineering, applied physics
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, and bring together technology and service providers, customers, researchers, investors and institutional partners. You can read more about BSGN on the website: https://bsgn.esa.int You are
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; · build physics-informed and hybrid AI models that combine geophysical knowledge with data-driven approaches; · contribute to the development of dynamic digital twins for subsurface monitoring
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image processing) as well as a solid foundation in mathematics and physics are strongly desirable. Proficiency in the use of computer-aided engineering tools would be an asset. Strong general computer