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Field
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applications in forecasting, system optimization, flexibility management, and resilience analysis. The work will be carried out in close collaboration with our interdisciplinary teams at both Empa and EPFL, as
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Chemistry and Earth Sciences Engineering Sciences Mathematics and Computer Science Physics and Astronomy Philosophy Modern Languages Theology Law Economics and Social Sciences Behavioural and Cultural Studies
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Description The PhD researcher will work on the Inventory-Routing Problem with Pickups and Deliveries (IRP-PD) under demand and supply uncertainty. The IRP-PD requires the joint optimization of inventory and
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14 Feb 2026 Job Information Organisation/Company Empa Research Field Computer science » Other Engineering » Other Mathematics » Applied mathematics Technology » Energy technology Technology
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Job Description Are you interested in working at the intersection of optimal control, AI algorithms, and game theory, on problems that matter for real-world critical infrastructure? This PhD
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, international group of 13 researchers from 8 countries, with expertise across energy systems and markets, optimization, control, game theory, and machine learning. Interdisciplinary by design: Work at the
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environmental management. A conceptual pathway will outline how robotics can optimize N-bS deployment; the scale of opportunity will also be quantified nationally and globally in economic terms, building
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, mathematical optimization, laser physics, integrated photonics, condensed matter physics, and spectroscopy. If you are passionate about advancing nanophotonics through cutting-edge research, we warmly encourage
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project, you will help design, simulate, and optimize these next-generation communities — making clean, local, and intelligent energy systems a practical reality. Your key responsibilities include
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3.5-year D.Phil. studentship Project: Optimization for real-time electricity grid operations Supervisor: Jack Umenberger This project concerns real-time balancing of energy in the electricity grid