Complete the following questionnaire for - **IC2022_08 Research Technician in Optimizacion Hyperheuristics (Elkartek Konflot KK-2022/00100)**
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Applications are invited for a research technician position in optimization hyperheuristics.

In some optimization problems the evaluation of a solution can be very expensive, e.g., an accurate simulation of a complex physical system. In this project we will develop hyperheuristic optimization algorithms that control the number of evaluations. The hyperheuristic will be a combination of a population heuristic algorithm and a controller, which guides the evolution process of the solutions that conform the population. The hyperheuristic algorithm will allow to control the number of evaluations by means of two complementary strategies: 1) train the controller on simplified versions of the problem, e.g., simplified simulations of the physical system; and 2) train the controller allowing a maximum number of evaluations during the optimization process.

The position of research technician is part of the Elkartek project KONFLOT (KK-2022/00100). The project addresses the problem of the design of floating wind turbines, and BCAM is in charge of the design of optimization algorithms.

** Deadline: 12th September 2022, 14:00 CET (UTC+2) **.

Applications will be evaluated in a continuous manner, with a response period no longer than 4 weeks after the call deadline.

**Contact: recruitment@bcamath.org **
() Compulsory field.