Research Assistant (AI for Healthcare)
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- Location
- Leicester, Leicestershire, United Kingdom
- Salary
- Grade 6 £31,396 to £33,966 per annum (pro rata)
- Job type
- Full Time
- Category
- Engineering
About the role
We are seeking Research Assistant to join our interdisciplinary team based at the School of Engineering and Department of Cardiovascular Sciences at the University of Leicester . The post is a part time role (0.5FTE) funded by MRC IAA fund and fixed-term for up to 12 months. The post will be central to developing machine learning methods with the goal of enhancing the effectiveness of our healthcare technology as part of the development of a low-cost heart rhythm monitor . The work will contribute to the future of digital healthcare and telemedicine by making remote healthcare solutions more accessible and efficient. This role is part of a collaboration with senior colleagues in the Department of Cardiovascular Sciences and School of Engineering at the University of Leicester and the University Hospitals of Leicester NHS Trust.
About you
Educated to master's degree or equivalent in Machine Learning, Computer Science, Signal Processing, Mathematics, Computational Statistics, or a related field, you should have demonstrable experience in developing machine learning algorithms. Your research experience should include working in a highly interdisciplinary team, and be demonstrated by a good publication record in the scientific literature. Key to any research roles, you should have excellent analytical and problem-solving skills, with strong written and verbal communication skills.
Additional information
Informal enquiries are welcomed and should be directed to Dr Xin Li at [email protected] .
As part of the University's ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More information regarding secondments can be found here .
The University of Leicester has been changing the world, and changing people's lives, for 100 years. When you join us, you'll become part of a community of Citizens of Change , which includes not only our staff and our current students but also thousands of Leicester graduates around the world.
As a diverse and forward-thinking employer, we embed the principles of equality, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive.
We're committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.
We are seeking Research Assistant to join our interdisciplinary team based at the School of Engineering and Department of Cardiovascular Sciences at the University of Leicester . The post is a part time role (0.5FTE) funded by MRC IAA fund and fixed-term for up to 12 months. The post will be central to developing machine learning methods with the goal of enhancing the effectiveness of our healthcare technology as part of the development of a low-cost heart rhythm monitor . The work will contribute to the future of digital healthcare and telemedicine by making remote healthcare solutions more accessible and efficient. This role is part of a collaboration with senior colleagues in the Department of Cardiovascular Sciences and School of Engineering at the University of Leicester and the University Hospitals of Leicester NHS Trust.
About you
Educated to master's degree or equivalent in Machine Learning, Computer Science, Signal Processing, Mathematics, Computational Statistics, or a related field, you should have demonstrable experience in developing machine learning algorithms. Your research experience should include working in a highly interdisciplinary team, and be demonstrated by a good publication record in the scientific literature. Key to any research roles, you should have excellent analytical and problem-solving skills, with strong written and verbal communication skills.
Additional information
Informal enquiries are welcomed and should be directed to Dr Xin Li at [email protected] .
As part of the University's ongoing commitment to professional development, this role will also be considered on a seconded basis for existing staff members. Please ensure this is discussed with your line manager prior to applying. More information regarding secondments can be found here .
The University of Leicester has been changing the world, and changing people's lives, for 100 years. When you join us, you'll become part of a community of Citizens of Change , which includes not only our staff and our current students but also thousands of Leicester graduates around the world.
As a diverse and forward-thinking employer, we embed the principles of equality, diversity and inclusion into everything we do. That includes not just our core missions of teaching and research, but also our support for staff, students and our local community through our values of Inspiring, Impactful and Inclusive.
We're committed to the wellbeing of all our staff and to the sustainability of our environment, on our campus and beyond. We offer a competitive salary package, excellent pension scheme and a generous annual leave allowance, along with opportunities to develop your career in a supportive and collaborative environment.
