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the Norwegian educational system Must have documented solid mathematical foundations on optimization (e.g., optimization modelling and numerical optimization), game theory, AI/ML (A focus on explainable AI e.g
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in Mathematical Sciences (https://www.ntnu.no/studier/phma ) within three months of your employment contract start date, and that you participate in an organized doctoral programme through out
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30 Jun 2026 Job Information Organisation/Company NTNU Norwegian University of Science and Technology Department Department of Mathematical Sciences Research Field Mathematics » Other Researcher
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gain admission to the PhD programme in Mathematical Sciences (https://www.ntnu.no/studier/phma ) within three months of your employment contract start date, and that you participate in an organized
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dynamic and uncertain environments. While Artificial Intelligence (AI) optimizes predictions or policies, energy systems are inherently multi-agent, strategic, and resource-constrained. Each agent has its
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will be cross-linked on the aiD website aid-center.no The successful applicant will work at NTNU in Trondheim. The Department of Mathematical Sciences, NTNU, will host the PhD position. The topic
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partitioning for parallel/distributed AI/ML Optimization of process-to-process communication in parallel/distributed AI/ML Enhancement of AI/ML with in-network computing & processing Adaptation & optimization
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synthesis of timed and probabilistic behavioral models for model checking, performance evaluation, and optimization. The overall objective is to establish formal foundations that bridge static engineering
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, computationally expensive, model simulations. This experimental design process is envisioned to update iteratively as new data become available to optimally infer surface fluxes across the landscape. The work will
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to research on some of the following themes: New algorithms for parallel/distributed AI/ML Hardware-aware and resource-efficient partitioning for parallel/distributed AI/ML Optimization of process-to-process