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and fungal spores. The geographical focus is on both the urban environment and agricultural areas in Denmark • You will be contributing to the dynamical integration of near real-time data into WRF
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of two years. About the Project The successful candidate will advance the algorithmic and theoretical foundations of reinforcement learning applied to complex, high-dimensional dynamical systems
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. The successful candidate will work at the University of Southern Denmark with the project’s co-principal investigator Associate Professor Peter Mayer. The Department of Mathematics and Computer Science is an
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be to develop and implement optimal control solutions for this process. You will contribute to the development of a mock-up dynamic model of the complete system, building on models developed by project
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should have the following qualifications: Ph. D. degree in data science, electrical engineering, computer engineering, computer science, mathematical engineering, or similar. Proven track record in
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of glacial and snow algae on the darkening of the Greenland ice sheet. Expected start date and duration of employment 1st of September 2026. This is a two-year fixed-term position to end 24 months after