20 postdoc-in-automation-and-control Fellowship positions at University of Nottingham
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unit and individual and collaborative research in the area of Power Electronic, Machine and Control. The role holder will be expected to conduct and lead high-caliber, impactful research at the forefront
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27 Sep 2025 Job Information Organisation/Company University of Nottingham Research Field Engineering » Control engineering Engineering » Electrical engineering Engineering » Other Researcher Profile
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contribution to the direction of research programmes in the Power Electronics, Machines and Control (PEMC) Research Institute in the Faculty of Engineering. You will pursue a research plan in developing
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(LLMs) in financial risk control and digital economy research. The researcher will assess the performance of an AI-based due diligence assistant through both quantitative analysis and field experiments
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is part of FOSSIC, an EPSRC funded project to develop novel flat optical fibre sensors for application in process control, evaluation and health monitoring of high value composite assets. The post will
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multi-institutional effort to create the world’s first real-time system for detecting and controlling airborne pathogens in buildings. You will work within Technical Area 2 (Respiratory Risk Assessment
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a core member of a team researching power electronic converter design, control, construction and testing of power electronic converters in high power applications. The role will be responsible
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This post is associated with ongoing research in the development and control of power electronic converters. Good communication skills are essential since the successful candidate will work closely
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), and Prof Thomas Sotiriou (gravitational waves, black holes, and alternative theories). At any given time, NCoG also includes about 7-8 postdocs and 25 students. Staff are active members of the LIGO
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Electronic Engineering, Control Engineering, Computer Science or a very closely related topic: Strong understanding of power electronics principles Excellent knowledge on data-driven machine learning algorithm