Research Associate/Fellow (Fixed-Term, Part-Time)
- University of Nottingham
- United Kingdom, LND
- Jun 11, 2026
Job Description:
The School of Medicine, University of Nottingham is looking to appoint a Research Fellow/Associate to join the Digital Cancer Screening Research Group in Translational Medical Sciences.
This role will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and conduct work using approaches, methodologies, and techniques appropriate to Digital Screening and Artificial Intelligence research. They will bring strong dedication and a proactive work ethic, contributing meaningfully to the success of the group through consistent effort, a commitment to high-quality research, and a willingness to support collaborative goals. The post holder will have expertise in designing, implementing, and optimising advanced AI algorithms, with deep proficiency in machine learning architectures, scalable model development, and high-performance code.
The role holder will have the opportunity to use their initiative and creativity to work on multiple research projects, develop research methods and extend their research portfolio.
The role is available on a fixed term basis to 31st March 2027. Hours of work are part-time (14.5 hours per week) This role is based at the Clinical Sciences Building, City Hospital Campus.
At the University of Nottingham, we are committed to providing generous employment packages whilst supporting the well-being of our staff to help them reach their full potential. As a University employee, you will have an excellent choice of benefits and rewards, including access to fitness and health facilities, staff discounts and travel schemes, along with 30 days holiday allowance and a highly attractive pension scheme.
Our university is a supportive, inclusive, caring, and positive community. We warmly welcome those of different cultures, ethnicities, and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus.
Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of you CV.
Informal enquiries may be addressed to Research Projects Officer, Bev Bramley [email protected]. Please note that applications sent directly to this email address will not be accepted.
Closing Date: 09 Jul 2026
Category: Research and Teaching (R&T)
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Job Description:
The School of Medicine, University of Nottingham is looking to appoint a Research Fellow/Associate to join the Digital Cancer Screening Research Group in Translational Medical Sciences.
This role will have specific responsibility for research and for developing research objectives and proposals on behalf of the Digital Cancer Screening Research Group. The role holder will be expected to plan and conduct work using approaches, methodologies, and techniques appropriate to Digital Screening and Artificial Intelligence research. They will bring strong dedication and a proactive work ethic, contributing meaningfully to the success of the group through consistent effort, a commitment to high-quality research, and a willingness to support collaborative goals. The post holder will have expertise in designing, implementing, and optimising advanced AI algorithms, with deep proficiency in machine learning architectures, scalable model development, and high-performance code.
The role holder will have the opportunity to use their initiative and creativity to work on multiple research projects, develop research methods and extend their research portfolio.
The role is available on a fixed term basis to 31st March 2027. Hours of work are part-time (14.5 hours per week) This role is based at the Clinical Sciences Building, City Hospital Campus.
At the University of Nottingham, we are committed to providing generous employment packages whilst supporting the well-being of our staff to help them reach their full potential. As a University employee, you will have an excellent choice of benefits and rewards, including access to fitness and health facilities, staff discounts and travel schemes, along with 30 days holiday allowance and a highly attractive pension scheme.
Our university is a supportive, inclusive, caring, and positive community. We warmly welcome those of different cultures, ethnicities, and beliefs – indeed this very diversity is vital to our success, it is fundamental to our values and enriches life on campus.
Further information is available in the role profile. To apply for this vacancy please click ‘Apply Now’ to complete your details and upload a copy of you CV.
Informal enquiries may be addressed to Research Projects Officer, Bev Bramley [email protected]. Please note that applications sent directly to this email address will not be accepted.
Closing Date: 09 Jul 2026
Category: Research and Teaching (R&T)
Posted:
