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/people/academic/jungong-han About the Department/Research Group The student will work in the computer vision group within the department of computer science at the University of Sheffield. 99 percent of
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the REF 2021, meaning it is classed as world-leading or internationally excellent. We are rated as 8th nationally for the quality of our research environment, showing that the Department of Computer Science
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, including Engineering, Physics, Mathematics, and Computer Science – candidates with experience with Machine Learning and/or Crystallography would be particularly suited for this project. This project will
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environment for PGRs. PGRs benefit from training through the Researcher Academy’s Training Programme, those based within the Faculty of Engineering have access to bespoke courses developed for Engineering PGRs
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: www.sheffield.ac.uk/dcs/people/academic/jefersson-alex-dos-santos About the Department/Research Group The successful candidate will join the Computer Vision group in the Department of Computer Science. You will have
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require an ATAS (Academic Technology Approval Scheme ) clearance certificate prior to obtaining their visa and to study on this programme. How to apply You must apply through the University’s Apply
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energy-efficient LLM training and inference. The project targets building full system prototypes in advanced CMOS/FinFET technology nodes (28nm, 16nm). These digital exact computing systems are planned
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(Desirable) Skills & competencies A strong background in engineering or mathematics Expertise in computational modelling Excellent analytical, problem-solving, and project management skills Ability to work
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of the UK. Eligibility Applicants should have or expect to achieve at least a 2.1 honours degree in engineering or computer science or an MSc qualification in Robotics, Electrical & Electronic Engineering
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network of companies and international universities. You will be part of the Smart Electronic Materials and Systems (SEMs) research group in the School of Electronics and Computer Science (ECS) , will be