Basque Center for Applied Mathematics – BCAM is offering a Research Technician position in optimization hyperheuristics to work with Aritz Perez in Machine Learning research line.

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: 12 September 2022
Applications at: http://www.bcamath.org/en/research/job/ic2022-08-research-technician-in-optimizacion-hyperheuristics-elkartek-konflot-kk-2022-00100

Requirements:
Experience programming with Python
Have obtained a degree in mathematics, computer science or physics within the last 5 years

Skills:
Ability to present and publish research outcomes in spoken (talks) and written (papers) form.
Ability to write technical reports
Demonstrated ability to work independently and as part of a collaborative research team.
Fluency in spoken and written Spanish.
Experience in supervised classification and multi-objective heuristic optimization

The preferred candidate will have:
Good programming skills in Python.
Background in machine learning
Background in heuristic optimization