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Skjalg Bøhmer Vold 6th November 2026 Languages English Norsk Bokmål English English PhD fellowship in quantum computing, optimization on noisy gate-based NISQ platforms Apply for this job See
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are also expected to present research findings at international conferences and workshops. Project description Many proposed quantum algorithms for optimization, including the quantum approximate
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16th August 2026 Languages English English English The Department of Industrial Economics and Technology Management has a vacancy for a PhD Candidate position: Hybrid AI-Optimization for Dynamic and
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16th August 2026 Languages English English English The Department of Civil and Environmental Engineering has a vacancy for a PhD in Predictive AI-Based Maintenance and Optimization of Building
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optimization problems, problems which are infeasible to solve using classical computers. Both analogue and digital quantum hardware still resides within what is called noisy intermediate-scale quantum (NISQ
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fundamentally different from a conceptual point of view. In this project we aim to devise and test novel approaches to solving hard optimization problems, problems which are infeasible to solve using classical
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renewable energy use, energy security, and the reliable operation of hydro-dominated power systems. The project will focus on how AI can support advanced optimization models for hydropower and energy-system
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brain function and cognition can be optimized. LCBC is an active, multidisciplinary research center with around 25 full-time staff members, including four professors, two researchers, several postdoctoral
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will consider techniques like flow matching, and use ideas from optimal transport and neural (stochastic) differential equations, invariant Kalman filtering and geometric numerical integration
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capacity available to power markets with flow-based market coupling. Developing methods for optimally allocating the additional transfer capability enabled by increased transformer loading limits across day