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energy systems and energy markets. Strong interest in distributed optimization, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good
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, multi-agent systems and data-driven optimization. Basic skills and knowledge of machine learning principles. A good understanding of practical engineering challenges with a view towards impact. Personal
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at the intersection of deep learning and computer systems. The successful candidate will join an international and collaborative research environment and contribute to advancing efficient AI systems through close
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learning optimization at the Department of Computer Science, Norwegian University of Science and Technology (NTNU). The position is supported by the EU Horizon project CIRES and offers the opportunity
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artificial intelligence. In a world where AI systems are reshaping how we learn, work and participate in democracy, AI LEARN tackles the promise and peril of hybrid intelligence—human and machine working and
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of hybrid intelligence—human and machine working and learning together. AI LEARN’s mission is to establish an internationally leading interdisciplinary hub that advances foundational research, responsible
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, control, AI, machine learning, physics, and related fields, including early-stage researchers eager to contribute to this emerging scientific frontier. Duties of the position Fundamental contributions in
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universities, research institutes, industry, public agencies, and leading global institutions. We welcome motivated applicants in robotics, control, AI, machine learning, physics, and related fields, including
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and Technology (NTNU) for general criteria for the position. Preferred selection criteria Experience with AI / probabilistic AI / Machine Learning / Reinforcement Learning Experience with numerical
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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