Contribute to further development and validation of our models for temporal and spatial variability in wind and solar power. Contribute to further development and validation of our models for uncertainties caused by forecast errors of wind and solar power. Maintain and develop models implemented in C#, Matlab and Python. You will be responsible for writing academic papers to conferences and journals. Contribute to education and training in the area of weather based generation
Candidates should have a PhD degree or equivalent in computer science or power systems engineering. Furthermore, we seek a candidate with the following qualifications. Documented in-depth knowledge in statistical modelling including stochastic time series analysis. Documented experience with probabilistic analysis in time domain as well as frequency domain. Proven programming skills in Python, C# and Matlab or similar programming languages
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