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"POEMA" (Polynomial Optimization, Efficiency through Moments and Algebra). POEMA trains scientists at the interplay of algebra, geometry and computer science for polynomial optimization problems
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Max Planck ETH Center for Learning Systems | New Germany, KwaZulu-Natal | South Africa | 30 days ago
requirements, we encourage you to apply. For further information about CLS and to register your application please visit: https://learning-systems.org Keywords: optimization Machine Learning Control Systems
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King Abdullah University of Science and Technology | Saudi Arabia, | Saudi Arabia | about 5 hours ago
King Abdullah University of Science and Technology: Postdoc Positions: Computer, Electrical and Mathematical Science and Engineering Division (postdoc): Applied Mathematics and Computational Science
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Engineering, Mathematics, Computer Science, or a related quantitative field A strong mathematical background, including familiarity with optimization, probability, and the analysis of mathematical models A
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offers the opportunity to develop strong competencies in multi-agent systems, learning and optimization, while addressing a timely and high-impact challenge: the growing use of AI agents in
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«Detaljer» for å lese mer om dette og tilpasse dine valg. Om cookies Bare nødvendige cookies UiO/Anders Lien 15th August 2026 Languages English English English PhD Research Fellow in computer science/AI
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program in electrical engineering, energy systems, computer science, data science, applied mathematics, industrial engineering, or a related field, and have demonstrated very good academic performance in
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-silicon validation; test generation and optimization; robust device tuning; system-level test; lifetime test and reliability management; and test automation. Further information can be found under
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theory and practical algorithms that move reinforcement learning closer to real-world systems. Position 1 will focus on trajectory-centric optimization, Position 2 on adaptive policies, and both will
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renewable energy. You will investigate quantum and hybrid quantum–classical methods for power system analysis and optimization, with emphasis on their practical performance and suitability for real