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information and how to apply: https://www.jobbnorge.no/en/available-jobs/job/298563/phd-research-fellow-in-control-and-optimization-for-multi-agent-uav-systems Where to apply Website https://www.jobbnorge.no/en
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, Chair of Power Electronics, Faculty of Engineering). Objectives of the position: Develop an autonomous, robust, grid code-aware Hybrid Power Plant (HPP) control strategy which can be embedded in
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closely with biology and modelling colleagues in a vibrant interdisciplinary team. Key accountabilities / duties You will: Design, set up and deliver robust measurements of plant-generated acoustic
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The School of Mechanical & Aerospace Engineering (MAE) is a robust, dynamic and multi-disciplinary international research community comprising of world-class scientists and bright students. MAE
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project deliverables are met. Collaborate with the PI, Co-PIs and NTU team to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g
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- Planeamento de tratamento biológico robusto do cancro pancreático em radioterapia”, “2024.14662.PEX”, “DOI: https://doi.org/10.54499/2024.14662.PEX ”, funded by the Fundação para a Ciência e a Tecnologia, I.P
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address key challenges within these processes, constructing robust models and simulations that deepen the understanding of the underlying physics involved. The ultimate goal is to create predictive, physics
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Ciência e a Tecnologia, is available under the following conditions: OBJECTIVES | FUNCTIONS This task evaluates the impact of controlled code perturbations on the classification stability and robustness
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UiO/Anders Lien 19th April 2026 Languages English English English PhD Research Fellow in Control and Optimization for Multi-Agent UAV Systems Apply for this job See advertisement About the position
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to design and develop a robust and scalable software system for autonomous agents navigating immersive 3D virtual environments (e.g., Roblox, Minecraft). Implement a parallelized agent-driven framework where