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selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Personal
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Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C) Experience with predictive maintenance, fatigue, fault detection
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) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning Experience with numerical optimization and MPC Strong programming skills (Python, C
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peak competences in decision-making, optimization, control, and AI for cyber-physical systems. The position will be part of the research centre the Norwegian Center on AI for Decision (aiD) cooperating
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of the position. The successful candidate will have a solid theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization
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drilling, drilling technology, thermomechanical processes, and AI‑driven drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models
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drilling optimization, as described in the project outline. Develop and apply numerical, analytical, and data‑driven models for drillability prediction, real‑time parameter optimization, and integration
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, or geometric deep learning. Experience with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage
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with optimization methods, numerical modeling, or simulation of complex systems. Experience with 3D modeling, CAD APIs, or computational geometry is an advantage. Experience and abilities
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theoretical foundation in one or more of the topics: Computational Mechanics, Finite Element Analysis (FEA), Numerical Optimization, or Materials Science. More specifically, we are looking for candidates with