Location: | Sheffield |
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Salary: | £30,487 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 15th April 2024 |
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Closes: | 28th April 2024 |
Job Ref: | UOS040699 |
We have an exciting opportunity in the Department of Automatic Control & Systems Engineering for a Research Assistant with a passion for sport looking to use their skills in Artificial Intelligence to improve smart training systems. Your standing and approaches will further strengthen our strong international research profile and our reputation for novel, research-led teaching. You will work in the well-connected Medical Robotics team led by Dr Lin Cao with world-leading reputations in ACSE. We are well known internationally for our research, and are one of the largest research groups in the field in the UK.
You will have a unique opportunity to triangulate your skills in AI and computing with commercialisation of critical sports technology. You will hold a Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related field, as well as strong programming skills in languages such as C++, Python, TensorFlow. As this role involves supporting the project’s commercialisation strategy, you will also need excellent problem-solving skills and fantastic communication skills.
We’re one of the best not-for-profit organisations to work for in the UK. The University’s Total Reward Package includes a competitive salary, a generous Pension Scheme and annual leave entitlement, as well as access to a range of learning and development courses to support your personal and professional development.
We build teams of people from different heritages and lifestyles from across the world, whose talent and contributions complement each other to greatest effect. We believe diversity in all its forms delivers greater impact through research, teaching and student experience.
To find out what makes the University of Sheffield a remarkable place to work, watch this short film: www.youtube.com/watch?v=7LblLk18zmo, and follow @sheffielduni and @ShefUniJobs on Twitter for more information.
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