Optimization plays a key role in data-driven decision making, where problems are often high-dimensional and of black-box nature. The focus of this project is to develop new theory and algorithms for the area, with a suggested emphasis on a new family of stochastic derivative-free algorithms that search for low-dimensional structure in a black-box problem.

As an application of this theory, the appointed candidate will have the opportunity to interact with a multidisciplinary research team focused on optimizing the prehospital care in Sweden. A digital twin of the problem has already been developed which, through large-scale simulations, allows us to numerically assess various resource allocations (location and scheduling of ambulances). The objective is to find the optimal resource allocation, subject to economical and practical constraints.

This postdoctoral fellowship is financed by The Kempe Foundations and amounts to 312 000 SEK per year.

Umeå offers excellent working and living conditions. The city is young and located right next to a large river. It is surrounded by forests and lakes and lies close by the sea. In the vicinity there are plenty of opportunities for both indoor and outdoor activities.

For more information and instructions on how to apply, see:

https://www.umu.se/en/work-with-us/postdoctoral-scholarships/6-2685-21/