Sort by
Refine Your Search
-
Employer
- Eindhoven University of Technology
- Eindhoven University of Technology (TU/e)
- University of Groningen
- Delft University of Technology
- Radboud University
- University of Amsterdam
- AcademicTransfer
- Delft University of Technology (TU Delft)
- CWI
- Maastricht University (UM)
- University of Amsterdam (UvA)
- 1 more »
- « less
-
Field
-
The Stochastics group at the Korteweg de Vries Institute at the University of Amsterdam and the Actuarial Science and Mathematical Finance group at the Amsterdam School of Economics are pleased
-
(Interconnected Resource-aware Intelligent Systems, and Stochastic Operations Research) to realize these innovations. The project will be part of the TU/e's Eindhoven AI Systems Institute (EAISI) and Eindhoven
-
(Interconnected Resource-aware Intelligent Systems, and Stochastic Operations Research) to realize these innovations. The project will be part of the TU/e's Eindhoven AI Systems Institute (EAISI) and Eindhoven
-
Intelligent Systems, and Stochastic Operations Research) to realize these innovations. The project will be part of the TU/e’s Eindhoven AI Systems Institute (EAISI) and Eindhoven Institute for Renewable Energy
-
Intelligent Systems, and Stochastic Operations Research) to realize these innovations. The project will be part of the TU/e’s Eindhoven AI Systems Institute (EAISI) and Eindhoven Institute for Renewable Energy
-
(Interconnected Resource-aware Intelligent Systems, and Stochastic Operations Research) to realize these innovations. The project will be part of the TU/e's Eindhoven AI Systems Institute (EAISI) and Eindhoven
-
Intelligent Systems, and Stochastic Operations Research) to realize these innovations. The project will be part of the TU/e’s Eindhoven AI Systems Institute (EAISI) and Eindhoven Institute for Renewable Energy
-
collection of agents whose “happiness” depends also on the decisions of the other participants. In particular, stochastic Nash equilibrium problems allow to describe the behavior of the agents in presence
-
training will be considered a plus. A strong mathematical background, including expertise in stochastic optimization (e.g. Markov decision theory and dynamic programming) and applied probability (Bayesian
-
infrastructure design and fleet operation, given other (stochastic) exogenous inputs. This position is part of the joint interdisciplinary Nationaal Groeifonds project Charging Energy Hubs between, among others