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on a journey where your expertise in distributed systems, AI and data sharing can make a significant impact across multiple sectors. To apply for this role, please click on the 'Apply' button above.
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to deliver on an industry innovation research project where you will be part of the research team to design, develop and evaluate schemes for quantum key distribution networks and systems. Key
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. Working at the forefront of high-renewable electricity systems, you will develop innovative inverter control strategies, undertake advanced distribution network simulation, and help translate research
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of their qualifications, taking into account an adequate distribution of posts among nationals of the Member States. The working languages of the Agency are English and French. A good knowledge of one of these is required
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(Lua/Java), agent behavior modeling, event handling, and API-based integration with external AI systems. Experience with distributed systems, reinforcement learning, or simulation environments (e.g
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challenges of real-time systems. Working knowledge of distributed systems and container technologies (e.g., Docker, Kubernetes). Communicate research findings and project progress effectively through demos
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with distributed systems, reinforcement learning, or simulation environments (e.g., Unity3D, OpenAI Gym, WebGL) is advantageous. Experience in developing and deploying cloud-based applications (e.g., AWS
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learning. Familiarity with reinforcement learning (RL) principles, curriculum learning strategies, and the challenges of real-time systems. Working knowledge of distributed systems and container technologies
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. Supported Areas for START - Engineering Energy Resilience: Power electronic converters for distributed energy resources and microgrids; High voltage DC transmission and distribution components and systems
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UiO/Anders Lien 15th August 2026 Languages English English English Join the University of Oslo as a PhD fellow in the APPROPRIATE project, focusing on wind power and the licencing system PhD