At a Glance
- Tasks: Join a cutting-edge lab to develop AI and machine learning for heart health.
- Company: Oxford's Institute of Biomedical Engineering, known for innovation and collaboration.
- Benefits: Competitive salary, potential for extension, and a chance to impact healthcare.
- Other info: Dynamic interdisciplinary environment with a commitment to diversity and inclusion.
- Why this job: Make a real difference in cardiovascular research with advanced technology.
- Qualifications: PhD/DPhil in relevant field and strong skills in machine learning and deep learning.
The predicted salary is between 39424 - 47779 € per year.
We are seeking a full-time Postdoctoral Research Assistant to join the Multimodal Medical Data Integration & Analysis (MultiMeDIA) Lab at the Department of Engineering Science, Institute of Biomedical Engineering, Headington, Oxford. The post is funded by the Heart Research UK - Novel and Emerging Technologies (NET) Grant and is fixed-term for 1 year, with the possibility of an extension.
This project will develop novel AI, machine learning, and computational modelling approaches based on patient-specific 3D heart models. You will be responsible for carrying out research in AI, machine learning, and computational modelling; developing novel computational methods to characterise cardiac structure and function; integrating multimodal cardiac datasets; and contributing to patient-specific digital models of the heart. The role offers the opportunity to work at the interface of engineering science, AI, and clinical translation, in close collaboration with colleagues at Oxford University Hospitals NHS Foundation Trust, John Radcliffe Hospital.
You should possess a relevant PhD/DPhil, or be near completion, together with relevant experience. You should have strong machine learning and modern deep learning skills, together with some familiarity with biomedical (ideally cardiac) imaging or related computational methods, along with strong communication skills and the ability to work collaboratively in an interdisciplinary research environment.
Informal enquiries may be addressed to Dr Abhirup Banerjee.
Only online applications received before midday on 1 June 2026 can be considered. You will be required to upload a covering letter/supporting statement, including a brief statement of research interests (describing how past experience and future plans fit with the advertised position), CV, and the details of two referees as part of your online application. Please note that the application should not exceed 10 pages.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Salary (£) : £39,424 - £47,779 per annum (Inclusive of Oxford University Weighting)
Postdoctoral Research Assistant in Cardiovascular Image Analysis employer: Corehr
The Institute of Biomedical Engineering at the University of Oxford offers an exceptional work environment for a Postdoctoral Research Assistant in Cardiovascular Image Analysis, fostering innovation at the intersection of engineering and clinical research. With access to cutting-edge resources and collaboration with leading experts at Oxford University Hospitals NHS Foundation Trust, employees benefit from a culture that prioritises interdisciplinary teamwork and professional development. The department's commitment to diversity, evidenced by its Athena Swan Bronze award, further enhances its reputation as a supportive and inclusive employer.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Cardiovascular Image Analysis
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those connected to the MultiMeDIA Lab. A friendly chat can open doors and give you insights that a CV just can't.
✨Tip Number 2
Show off your skills! Prepare a portfolio or presentation that highlights your work in AI and machine learning. When you get the chance to meet with potential colleagues, let your passion shine through.
✨Tip Number 3
Stay updated on the latest trends in cardiovascular imaging and AI. Being able to discuss recent advancements during interviews shows you're not just knowledgeable but genuinely interested in the field.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining our team at the Institute of Biomedical Engineering.
We think you need these skills to ace Postdoctoral Research Assistant in Cardiovascular Image Analysis
Some tips for your application 🫡
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Make sure to highlight your research interests and how they align with the role. We want to see your passion for AI and machine learning in cardiovascular imaging, so don’t hold back!
Tailor Your CV:When it comes to your CV, tailor it to showcase your relevant experience. Focus on your skills in machine learning and any work you've done with biomedical imaging. We love seeing how your background fits into our interdisciplinary team!
Keep It Concise:Remember, the application should not exceed 10 pages. Be concise and to the point. We appreciate clarity and brevity, so make every word count while still showcasing your expertise.
Apply Through Our Website:Don’t forget to apply through our website before the deadline! It’s the easiest way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Corehr
✨Know Your Research
Make sure you’re well-versed in your own research and how it relates to the role. Be ready to discuss your PhD work and any relevant projects, especially those involving AI and machine learning in cardiovascular imaging.
✨Familiarise with the Lab's Work
Check out the MultiMeDIA Lab’s website and understand their current projects. This will help you tailor your answers and show genuine interest in their work during the interview.
✨Prepare for Technical Questions
Expect questions on machine learning techniques and computational modelling. Brush up on key concepts and be prepared to explain how you’ve applied these in your past work or how you would approach specific problems.
✨Show Your Collaborative Spirit
Since this role involves working closely with clinical teams, be ready to discuss your experience in interdisciplinary settings. Highlight examples where you’ve successfully collaborated with others to achieve research goals.
