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Field
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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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in AI. We expect an excellent publication record in areas such as automated planning, machine learning, logic or combinatorial optimization. Furthermore, candidates should have very good programming
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University Seattle campus. Course topics include High-performance Computing, VLSI Design, Advanced Machine, Learning Combinatorial Optimization and Statistical Inference. Responsibilities include preparation
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the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Postdoctoral researcher, you will: Lead cutting edge research in Swarm Intelligence and Machine
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Specialist to strengthen the research team in the area of Swarm Intelligence, Reinforcement Learning and Optimization Techniques. As a Research and Development Specialist, you will: Conduct cutting edge
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position. Good knowledge of combinatorial optimization (scheduling problems, mathematical modelling etc.), machine learning and/or strong programming skills are an asset.• You have an interest in supply
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algorithms for hard combinatorial optimisation problems. Have some knowledge about stochastic optimization. Have knowledge about implementation of metaheuristics. Be passionate about research and pushing
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areas such as auction theory, resource allocation, and stochastic optimization. The interdependent value model, introduced by Milgrom and Weber (1982), describes settings where an agent's valuation
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. Strong publication record in top-tier venues. Solid background in one or more of the following: Query processing or optimization Constrained or combinatorial query evaluation Data modeling under
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combinatorial optimization problems arising in logistics, transportation, and energy systems. Hyperheuristics combine learning mechanisms with low-level heuristics to construct high-quality solutions across