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- Tasks: Join us to develop cutting-edge AI algorithms for healthcare applications.
- Company: Be part of the Computational Health Informatics Lab at a leading engineering department.
- Benefits: Enjoy a competitive salary, collaborative projects, and opportunities for impactful research.
- Why this job: Work on real-world outcomes with international collaborators and contribute to meaningful advancements in healthcare.
- Qualifications: PhD (or near completion) in AI, computer science, or related fields; strong programming skills required.
- Other info: Applications close on 18 August 2025; informal enquiries welcome.
The predicted salary is between 38674 - 46913 £ per year.
We are seeking five full-time Postdoctoral Research Assistants to join the Computational Health Informatics Lab at the Department of Engineering Science, based at the Institute of Biomedical Engineering in Headington. The posts are fixed-term for 12 months in the first instance, funded by the NIHR, EPSRC, and the Gates Foundation.
The postholders will work on projects with international collaborators and colleagues from within the University to achieve a range of real-world outcomes. Typical outputs include top-tier scientific publications, patents, and seeing collaborators translate our work into real-world settings.
You will be responsible for developing machine learning and AI algorithms for a range of data and applications (e.g. natural language processing, multivariate time-series data), to develop systems that improve the efficacy of machine learning-based technologies for healthcare applications.
You must hold a PhD (or be near completion) in a field such as AI, computer science, signal processing, biomedical engineering, have a strong record of publication in engineering or computer science literature, and have an interest in the use of AI in healthcare. Proven competence in programming methods in Python and similar environments is also essential.
Informal enquiries may be addressed to Professor David Clifton (email: david.clifton@eng.ox.ac.uk).
For more information about working at the Department, see www.eng.ox.ac.uk/about/work-with-us/ .
Only online applications received before midday on the 18 August 2025 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.
The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.
Contact Person :
Professor David Clifton
Vacancy ID :
180854
Contact Phone :
Closing Date & Time :
18-Aug-2025 12:00
Pay Scale :
RESEARCH GRADE 7
Contact Email :
david.clifton@eng.ox.ac.uk
Salary (£) :
£38,674 – £46,913 per annum
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Postdoctoral Research Assistant in Medical AI (5 Posts) employer: University of Oxford
Contact Detail:
University of Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Postdoctoral Research Assistant in Medical AI (5 Posts)
✨Tip Number 1
Network with professionals in the field of medical AI and healthcare technology. Attend relevant conferences, workshops, or seminars where you can meet potential collaborators and learn about ongoing projects that align with your interests.
✨Tip Number 2
Engage with the research community by following key publications and authors in medical AI. This will help you stay updated on the latest trends and breakthroughs, which you can reference in conversations or interviews to demonstrate your knowledge and enthusiasm.
✨Tip Number 3
Consider reaching out directly to Professor David Clifton or other team members via email to express your interest in the position. A brief, thoughtful message can help you stand out and may lead to valuable insights about the role and the team.
✨Tip Number 4
Prepare to discuss your programming skills in Python and any relevant projects you've worked on during interviews. Be ready to explain how your experience aligns with the specific applications mentioned in the job description, such as natural language processing and multivariate time-series data.
We think you need these skills to ace Postdoctoral Research Assistant in Medical AI (5 Posts)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to understand the responsibilities and requirements. Highlight your relevant experience in AI, machine learning, and healthcare applications in your application.
Craft a Strong Covering Letter: Your covering letter should clearly outline your research interests and how they align with the position. Mention specific projects or experiences that demonstrate your expertise in programming with Python and your publication record.
Tailor Your CV: Ensure your CV is tailored to highlight your qualifications for this role. Include your PhD status, relevant publications, and any collaborative projects that showcase your ability to work with international teams.
Prepare References: Select two referees who can speak to your research capabilities and teamwork skills. Inform them about the position you are applying for so they can provide relevant insights in their references.
How to prepare for a job interview at University of Oxford
✨Showcase Your Research Experience
Be prepared to discuss your previous research projects in detail, especially those related to AI and healthcare. Highlight any publications or patents you've contributed to, as this will demonstrate your capability and commitment to the field.
✨Demonstrate Technical Proficiency
Since programming in Python is essential for this role, be ready to talk about your experience with coding and developing algorithms. You might even want to prepare for a technical question or a coding challenge during the interview.
✨Align Your Interests with the Role
Craft a clear narrative about how your past experiences and future aspirations align with the goals of the Computational Health Informatics Lab. This will show that you are not only qualified but also genuinely interested in contributing to their projects.
✨Prepare Questions for the Interviewers
Having insightful questions ready can set you apart from other candidates. Ask about the lab's current projects, collaboration opportunities, or how they envision the role evolving over the next year. This shows your enthusiasm and engagement with the position.
