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, scientific computing, and emerging AI. The project tasks will include resource-aware training methods and hardware implementation, including the design, implementation, and verification of KAN accelerator
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and applying optimisation methods, such as model predictive control, multi-objective optimisation and, where appropriate, reinforcement learning Investigating suitable model-reduction and approximation
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requires an unprecedented computing and storage infrastructure. Processing these enormous amounts of data in a future data center, however, consumes significant resources. The fundamental challenge is: How
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include: Developing and analyzing representative dynamic simulation scenarios for electrical power systems Extending kernel-based Gaussian Process methods for the estimation of electrical and control
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and develop novel methods to improve their temporal representation learning and downstream regression performance. The goal is to design more flexible temporal modeling strategies and improved
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background in numerical methods, mathematical modeling, and network simulation or analysis Good understanding of power systems, gas networks, or coupled multi-energy systems Proficient in programming
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University of Luxembourg Location Esch-sur-Alzette, Luxembourg Salary Negotiable Closing date 17 Oct 2026 View more categories View less categories Discipline Computing , Engineering Job Type PhD Position
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Your Job You will be performing simulations of lattice quantum field theory, developing analysis methods and tools and simulation software, analyzing, publishing and presenting the results, while
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library for computing the elementary matrices associated with near, singular and quasi-singular interactions using advanced integration methods from the literature [2–6], or variants to be defined as
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public-sector benefits. Closing date 17 Aug 2026 Website https://www.inria.fr/en/chairs-junior-professor-recruitment-employment View more categories View less categories Discipline Computing , Health