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Are you completing / have completed a PhD in electrical machines or electromagnetics and looking for an ambitious next step in your research career? We are looking for a talented and highly
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About the Role A fantastic opportunity has arisen for a Senior Research Fellow to join the Power Electronics, Machines and Control (PEMC) Research Institute at the University of Nottingham and
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Successful candidates will have publications in information theory and machine learning venues, such as IEEE Transactions on Information Theory, ISIT, NeurIPS, ICML, ICLR, and ACM FAccT. Experience in machine
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) Landscape Services (3) Learning Teaching & Curriculum (3) MO Institute Defense & Energy (3) Management (3) Marketing and Communications (3) Miniature Museum (3) NextGen Precision Health (3) Nuclear Eng R
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top-tier conferences and journals related to AI, security, privacy, digital forensics, or trustworthy computing. Solid background in Machine Learning, Digital Forensics, Security, and AI Generation
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standards and data protection regulations. This includes managing sensitive data correctly and guaranteeing that machine learning applications are developed with ethical considerations in mind. Participate in
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that machine learning applications are developed with ethical considerations in mind. Participate in regular meetings with the research group. Required Qualifications* Ph.D. in Electrical Engineering, Computer
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-time simulation will be advantageous. • Knowledge and experience in electrical machines and their control. • Knowledge of software such as PSIM, PLECS and MATLAB/Simulink • Prior knowledge and
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performance and contributions to the University. See how we lead in flexible work to enable an outcome focused and inclusive workplace. To learn more about our culture and hiring process, visit our Jobs