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Department Summary The Knight Campus for Accelerating Scientific Impact is an ambitious initiative designed to fast-track scientific discoveries into innovations that improve the quality of life for people in
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Fellow to conduct cutting-edge research in AI-enabled modelling and design of microwave and RF devices. The successful candidate will develop advanced physics-assisted modelling techniques to accelerate
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. These fellowships are fixed term for 5 years and are an excellent stepping-stone to establishing an independent research career and gaining a full-time permanent academic position. FSE and Rapiscan (https
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accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform performance, power, and area
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description languages. Develop and optimize EDA workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for
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to Applicants Along with your online application, please upload your current CV Department Summary The Knight Campus for Accelerating Scientific Impact is an ambitious initiative designed to fast-track scientific
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the adhesion of metal powders on substrates. The process involves accelerating the powders to supersonic speeds at which adhesion to the substrate is possible. Cold spray is an attractive technique
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workflows for processor and accelerator design, verification, and physical implementation using open-source tools. Explore architecture-algorithm co-design for machine learning and AI acceleration. Perform
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for airBORNe applications” project (https://newborn-project.eu/) and develop a real-time Multiphysics Digital Twin for such a system accelerating future electric propulsion system development. Motivation
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20 Mar 2026 Job Information Organisation/Company Academic Europe Research Field Physics » Other Engineering » Electrical engineering Researcher Profile Established Researcher (R3) Positions Research