Research Fellow in Computer Science - Sutherland Building, Newcastle upon Tyne, Tyne and Wear, NE1 8ST, GBSalary: £41,064 - £46,049Work hours: Office Hours Monday to Friday, Full TimeJob DescriptionABOUT THE ROLE   Working as part of multi-disciplinary teams, you will support the Principal Investigator and wider team in delivery of research activity on a project focusing on Artificial Intelligence (AI) and Machine Learning (ML) in Heart and Lung Transplantation. You will lead and support innovative research applying AI and ML techniques to analyze complex datasets from cardiothoracic patients. The role involves data mining, preprocessing, model development, validation, and interpretation of multimodal clinical data, including imaging, physiological signals, and electronic health records. You will collaborate with clinicians, data scientists, and multidisciplinary teams to identify clinically meaningful patterns, develop predictive models, and translate findings into improved patient outcomes. Responsibilities include ensuring data governance compliance, publishing results, and supporting the development of scalable, ethical, and reproducible AI-driven healthcare solutions.            The role is fixed term, starting on 20th April 2026 for a duration of 11 months. This role is exempt from the Rehabilitation of Offenders Act 1974 therefore the successful candidate will be subject to a Disclosure and Barring Service check.  ABOUT THE TEAM   This Research Project is being delivered within the School of Computer Science in collaboration with clinicians at the Freeman Hospital, Newcastle.                 ABOUT YOU   Applicants should hold a PhD and have demonstrable specialist expert knowledge in artificial intelligence (inc. computer vision), machine learning, data science and be experienced to demonstrate original thinking - turning research ideas into meaningful actions results in academic outputs. Further information about the requirements of the role is available in the person specification.  If you would like an informal discussion about the role, please contact Dr Alan Godfrey.To apply for this vacancy please click 'Apply Now'.  Your application should include a covering letter and a CV.  ABOUT US Join Northumbria University, a research-intensive institution unlocking potential and changing lives locally and globally. Named Times Higher Education's University of the Year in 2022 and Modern University of the Year in 2025, we rank top 25 in the UK for research power.  Discover more about us. With over 37,000 students from over 140 countries, we offer world-leading research, award-winning partnerships, and an outstanding student experience. We empower our exceptional staff, promoting a positive work-life balance and offering great benefits, including excellent pension schemes, flexible working, generous holiday entitlement and more. Our Northumbria Values, co-created by our team, define who we are: Academic Excellence, Innovation, Inclusivity, Collaboration, and Ambition. Our Behaviours shape our work culture: We listen and learn, support one another, respect everyone, trust each other, and are bold.   Based in Newcastle upon Tyne and London, we are an on-campus organisation and offer flexible hours and location where the role allows. We pride ourselves on diversity and inclusivity, holding numerous awards for gender and race equality, disability confidence, and research excellence.  We also hold the HR Excellence in Research award for implementing the concordat supporting the career Development of Researchers and are members of the Euraxess initiative to deliver information and support to professional researchers. The University has implemented a range of flexible working arrangements, and we are happy to explore candidate requirements as part of the recruitment process.   Apply now and join a community committed to transforming society and the economy. Explore "Our Exceptional People, Our Values and Behaviours" page to learn more about our commitments and see our Privacy Policy for further details.