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- Tasks: Lead innovative research using AI and ML to improve heart and lung transplantation outcomes.
- Company: Join Northumbria University, a top-ranked research institution with a vibrant community.
- Benefits: Enjoy flexible working, generous holidays, and excellent pension schemes.
- Why this job: Make a real impact in healthcare by translating research into meaningful patient outcomes.
- Qualifications: PhD in AI, ML, or data science with original thinking and research experience.
- Other info: Collaborate with multidisciplinary teams in a supportive and inclusive environment.
The predicted salary is between 36000 - 60000 ÂŁ per year.
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.
Applicants should hold a PhD and have demonstrable specialist expert knowledge in artificial intelligence (including computer vision), machine learning, data science and be experienced to demonstrate original thinking - turning research ideas into meaningful actions resulting 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.
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 worldâleading research, awardâwinning partnerships, and an outstanding student experience. We empower our exceptional staff, promoting a positive workâlife balance and offering great benefits, including excellent pension schemes, flexible working, generous holiday entitlement and more.
Our Northumbria Values, coâcreated 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 onâcampus 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.
Research Fellow in Computer Science in Newcastle upon Tyne employer: Northumbria University
Contact Detail:
Northumbria University Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Research Fellow in Computer Science in Newcastle upon Tyne
â¨Tip Number 1
Network like a pro! Reach out to people in your field, especially those working on AI and ML in healthcare. Attend conferences or webinars, and donât be shy about asking for informational interviews â itâs all about making connections that could lead to opportunities.
â¨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to AI and ML. Whether it's data analysis, model development, or any innovative research you've done, having tangible examples can really impress potential employers.
â¨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Be ready to discuss your experience with complex datasets and how youâve collaborated with multidisciplinary teams. Practice common interview questions and think of examples that highlight your problem-solving abilities.
â¨Tip Number 4
Donât forget to apply through our website! Itâs the best way to ensure your application gets seen. Plus, keep an eye on our job postings for similar roles that might pop up â you never know what opportunities could be just around the corner!
We think you need these skills to ace Research Fellow in Computer Science in Newcastle upon Tyne
Some tips for your application đŤĄ
Tailor Your Cover Letter: Make sure your cover letter speaks directly to the role. Highlight your experience in AI and ML, and how it relates to heart and lung transplantation. We want to see your passion for the subject and how you can contribute to our innovative research.
Showcase Your Research Skills: In your CV, emphasise your PhD and any relevant projects you've worked on. Include specific examples of data mining, model development, or any publications. We love seeing original thinking and how you've turned ideas into impactful results!
Be Clear and Concise: Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to read. We appreciate clarity, especially when it comes to complex topics like AI and ML.
Apply Through Our Website: Donât forget to apply through our website! Itâs the best way to ensure your application gets to us. Plus, youâll find all the details you need about the role and our values there.
How to prepare for a job interview at Northumbria University
â¨Know Your AI and ML Stuff
Make sure you brush up on your knowledge of artificial intelligence and machine learning, especially as it relates to healthcare. Be ready to discuss specific techniques you've used in the past, like data mining or model development, and how they can apply to heart and lung transplantation.
â¨Show Off Your Collaboration Skills
Since this role involves working with clinicians and multidisciplinary teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where youâve turned complex data into actionable insights through teamwork.
â¨Prepare for Ethical Discussions
Given the focus on ethical AI-driven healthcare solutions, think about the ethical implications of your work. Be ready to discuss how you ensure data governance compliance and how you approach the challenges of reproducibility in your research.
â¨Ask Thoughtful Questions
At the end of the interview, donât forget to ask insightful questions about the project and the team. This shows your genuine interest in the role and helps you understand how you can contribute to improving patient outcomes through your research.