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- Tasks: Lead innovative research using AI and ML in heart and lung transplantation.
- Company: Join a top university collaborating with leading clinicians and researchers.
- Benefits: Flexible working hours, generous holidays, and excellent pension schemes.
- Why this job: Make a real impact on patient outcomes through cutting-edge research.
- Qualifications: PhD in AI, ML, or data science with original thinking skills.
- Other info: Diverse and inclusive environment with great career development opportunities.
The predicted salary is between 28800 - 48000 £ 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.
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.
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.
Research Fellow in Computer Science in Newcastle upon Tyne employer: University of Northumbria
Contact Detail:
University of Northumbria Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Fellow in Computer Science in Newcastle upon Tyne
✨Network Like a Pro
Get out there and connect with people in your field! Attend conferences, workshops, or even local meetups related to AI and ML. You never know who might have the inside scoop on job openings or can introduce you to someone who does.
✨Show Off Your Skills
Create a portfolio showcasing your projects and research. Whether it's a GitHub repository or a personal website, make sure it highlights your expertise in AI, ML, and data science. This is your chance to impress potential employers with your hands-on experience!
✨Ace the Informal Chat
If you get the chance for an informal discussion about the role, take it! Prepare some thoughtful questions about the project and team dynamics. This shows your genuine interest and helps you stand out from other candidates.
✨Apply Through Our Website
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our innovative team at Northumbria.
We think you need these skills to ace Research Fellow in Computer Science in Newcastle upon Tyne
Some tips for your application 🫡
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Make sure to highlight your experience in AI and ML, and how it relates to heart and lung transplantation. We want to see your passion for the field and how you can contribute to our innovative research.
Tailor Your CV: Don’t just send a generic CV! Tailor it to showcase your relevant skills and experiences that align with the role. Focus on your PhD work and any projects that demonstrate your expertise in data science and AI techniques.
Showcase Your Collaborative Spirit: Since this role involves working with multidisciplinary teams, make sure to mention any past collaborations. We love seeing how you’ve worked with clinicians or data scientists to achieve meaningful results!
Apply Through Our Website: Remember to apply through our website! It’s the best way to ensure your application gets to us directly. Plus, you’ll find all the details you need about the role and our values there.
How to prepare for a job interview at University of Northumbria
✨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 be applied to heart and lung transplantation.
✨Show Off Your Collaboration Skills
Since this role involves working with clinicians and multidisciplinary teams, think of examples where you've successfully collaborated in the past. Highlight your ability to communicate complex ideas clearly and how you’ve contributed to team success.
✨Prepare for Ethical Discussions
Given the focus on ethical AI-driven healthcare solutions, be prepared to discuss the importance of data governance and compliance. Think about how you would ensure that your research adheres to ethical standards and contributes positively to patient outcomes.
✨Bring Your Research Ideas
This position values original thinking, so come armed with a few innovative research ideas that could translate into meaningful actions. Be ready to explain how these ideas could lead to academic outputs and improve patient care.