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position within the field of mathematical or theoretical biology, computational physics, applied mathematics or computational science. This PhD project is part of the Gravitation programme GreenTE (Green
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? We are looking for a PhD candidate to develop AI methods that extend current sets of flood scenarios derived from physical and numerical models, incorporate climate change effects, and then use
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learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development of new data-driven
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What You Bring You must hold, or expect to be awarded, a Master’s degree in Biology, Chemistry, Computer Science, Physics, (Applied) Mathematics, Engineering or related fields. The Master’s degree should
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. The group expertise spans from the fundamentals and physics of photonics, optics, the design and fabrication of photonic integrated circuits (PICs) systems to exploiting optical linear/non-linear signal
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temperature-driven deposition. Job requirements Applicants are expected to have a university degree (MSc) in physics, astronomy, Earth and/or planetary sciences, or a related area, with a strong background in
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pilot cities: Amsterdam, Athens, Zaragoza, and Reggio Emilia. You will assess how physical, nature-based, and digital interventions—ranging from Amsterdam's network of shaded routes and heat shelters
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), Computer Science (Machine learning, Efficient Algorithms and High Performance Computing), and Physics (Image Formation Modelling). Your project is part of the DUAL-IMPACT project, which focuses on the development
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education, development and career, we have to be very selective in our admission process for PhD students.
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process. Prior experience with Bayesian statistics and/or JAX is a plus. What we offer you We will give you a temporary employment contract of 1 year. Your salary within salary scale 7 depends on your