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Field
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Description The field of combinatorial optimization is concerned with developing generic tools that take a declarative problem description andautomatically compute an optimal solution to it. Often, users
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, discrete/combinatorial optimization, optimization modeling, etc., including their applied fields) Teaching and research guidance for subjects related to the above specializations within the Graduate School
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—such as bent, plateaued, and almost perfect nonlinear (APN) functions—and the design of linear codes with prescribed properties useful for cryptography, including minimal, self-orthogonal, LCD and optimal
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date. Demonstrated expertise in optimization (e.g., convex/nonconvex, stochastic, combinatorial), probability and stochastic processes, numerical linear algebra, and algorithm design. Proficiency in
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domains. Information You will work under the supervision of Alexandra Lassota and Frits Spieksma in the Combinatorial Optimization group (link ) within the Department of Mathematics and Computer
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modeling, power/performance optimization, and energy-aware scheduling; Knowledge of optimization methods (e.g., convex optimization, combinatorial optimization, reinforcement learning) for energy management
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optimization, including integer, nonlinear, and combinatorial optimization; global and non-convex optimization; machine learning for optimization; explainable artificial intelligence; heuristic and metaheuristic
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or optimization Constrained or combinatorial query evaluation Data modeling under uncertainty or imprecision Design and implementation of database or data analysis systems Excellent programming and prototyping
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candidate will be an integral part of the prestigious ERC Consolidator Grant, THERMODON on harnessing the unique capabilities of ONNs to solve combinatorial optimization problems. ONNs, inspired by
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holders, in the scientific area of Industrial Engineering and Management or similar areas, enrolled in a non-degree-granting course . Knowledge of simulation and combinatorial optimization, as