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- Tasks: Conduct AI and ML research to improve heart and lung transplantation outcomes.
- Company: Leading UK university in Newcastle with a focus on innovation.
- Benefits: Flexible hours, supportive environment, and commitment to diversity.
- Why this job: Make a real difference in healthcare through cutting-edge research.
- Qualifications: PhD in AI or data science with proven research experience.
- Other info: Dynamic work culture with opportunities for impactful collaboration.
The predicted salary is between 36000 - 60000 £ per year.
A leading UK university in Newcastle upon Tyne seeks a researcher specializing in artificial intelligence and machine learning for a project in heart and lung transplantation. The position involves data mining, model development, and collaborating with clinicians to enhance patient outcomes.
Applicants must hold a PhD and demonstrate expertise in AI and data science, translating research into impactful results. This is a fixed-term position starting April 2026, offering a dynamic work environment with flexible hours and strong support for diversity and inclusivity.
AI & ML Research Fellow: Cardiothoracic Health Analytics 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 AI & ML Research Fellow: Cardiothoracic Health Analytics in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and ML fields, especially those connected to cardiothoracic health. Attend relevant conferences or webinars to make connections that could lead to job opportunities.
✨Tip Number 2
Showcase your skills! Create a portfolio that highlights your data mining and model development projects. Use platforms like GitHub to share your work and demonstrate how you can translate research into impactful results.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current trends in AI and machine learning, particularly in healthcare. Be ready to discuss how your expertise can enhance patient outcomes in heart and lung transplantation.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got all the resources you need to make your application stand out. Plus, it’s a great way to show your enthusiasm for joining a dynamic and inclusive team.
We think you need these skills to ace AI & ML Research Fellow: Cardiothoracic Health Analytics in Newcastle upon Tyne
Some tips for your application 🫡
Showcase Your Expertise: Make sure to highlight your PhD and any relevant experience in AI and data science. We want to see how your skills can translate into impactful results for our project in cardiothoracic health analytics.
Tailor Your Application: Don’t just send a generic application! We love it when candidates tailor their CV and cover letter to the specific role. Mention how your background aligns with the work we do in heart and lung transplantation.
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured documents that make it easy for us to see your qualifications and enthusiasm for the role.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity in a dynamic work environment.
How to prepare for a job interview at University of Northumbria
✨Know Your Stuff
Make sure you brush up on your AI and machine learning knowledge, especially as it relates to cardiothoracic health. Be ready to discuss your PhD research and how it can translate into real-world applications in heart and lung transplantation.
✨Show Your Collaborative Spirit
Since this role involves working closely with clinicians, be prepared to talk about your experience in teamwork and collaboration. Share examples of how you've successfully worked with others to achieve a common goal, particularly in a research setting.
✨Prepare for Technical Questions
Expect some technical questions related to data mining and model development. Brush up on relevant algorithms and methodologies, and be ready to explain your thought process when tackling complex problems.
✨Emphasise Diversity and Inclusivity
This position values diversity and inclusivity, so be sure to highlight any experiences or perspectives you bring to the table. Discuss how you can contribute to a supportive work environment and enhance team dynamics.