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-driven methods to characterize demand-side flexibility using e.g., by using a set of coupled stochastics differential equations or data-driven digital twins. As a result, we will aim at obtaining a
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approaches (e.g. SPG) as well as the use of machine learning, advanced computing, statistical modelling to explore the stochastic response to complex scenarios. This project offers the opportunity to undertake
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to the success of the whole institution. At the Faculty of Mathematics, the Institute of Mathematical Stochastics offers a position as Research Associate / PhD Student (m/f/x) (subject to personal qualification
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further research and development at Finatrax. Supported in a strong team environment the candidate will develop an innovative approach to renewable energy system modelling (based on stochastic optimization
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, their achievements and productivity to the success of the whole institution. At the Faculty of Mathematics, the Institute of Mathematical Stochastics offers a position as Research Associate / PhD Student (m/f/x
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given to computationally intensive components, including ordinary and stochastic differential equations, and non-parametric components like Gaussian Processes. The project builds on the following key