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 or nearing completion, strong machine learning skills, and teamwork experience.
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 (email: abhirup.banerjee@eng.ox.ac.uk). 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 in Oxford 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 and collaboration at the cutting edge of engineering science and healthcare. With access to state-of-the-art facilities and a strong emphasis on interdisciplinary research, employees benefit from professional growth opportunities, a supportive culture, and the chance to contribute to impactful projects that advance medical technology. Located in the vibrant city of Oxford, the institute also promotes diversity and inclusion, as evidenced by its Athena Swan Bronze award, making it an attractive employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Cardiovascular Image Analysis in Oxford
✨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 a presentation that highlights your work in AI and machine learning. When you get the chance to meet potential colleagues, let your passion shine through!
✨Tip Number 3
Be proactive! If you see a project at the lab that excites you, don’t wait for an official opening. Drop them an email expressing your interest and how you can contribute. It shows initiative!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Make sure to tailor your covering letter to highlight how your experience aligns with the role in cardiovascular image analysis.
We think you need these skills to ace Postdoctoral Research Assistant in Cardiovascular Image Analysis in Oxford
Some tips for your application 🫡
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Make sure to highlight your relevant experience and how it aligns with the role. We want to see your passion for AI and machine learning, so don’t hold back!
Tailor Your CV:Customise your CV to reflect the skills and experiences that are most relevant to the position. We’re looking for strong machine learning skills and familiarity with biomedical imaging, so make those stand out!
Showcase Your Research Interests:In your supporting statement, clearly outline your research interests and how they connect to the project. We love seeing how your past experiences can contribute to our work at the MultiMeDIA Lab!
Follow Application Guidelines:Make sure you stick to the application guidelines, including the 10-page limit. We appreciate attention to detail, so double-check everything before submitting through our website!
How to prepare for a job interview at Corehr
✨Know Your Stuff
Make sure you brush up on your AI, machine learning, and computational modelling skills. Be ready to discuss specific projects you've worked on, especially those related to cardiac imaging or similar fields. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Tailor Your Research Interests
In your covering letter, clearly outline how your past research aligns with the role. Highlight any relevant experience in developing computational methods or integrating multimodal datasets. This personal touch can make a big difference in showing your genuine interest in the position.
✨Prepare for Collaboration Questions
Since this role involves working closely with interdisciplinary teams, be prepared to discuss your teamwork experiences. Think of examples where you successfully collaborated with others, particularly in a research setting, and how you communicated complex ideas effectively.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the current projects at the MultiMeDIA Lab or how they envision the integration of AI in their research. This shows your enthusiasm and helps you gauge if the lab is the right fit for you.
