At a Glance
- Tasks: Develop cutting-edge machine learning methods for biomedical image analysis and disease identification.
- Company: Join a leading research team at the University of Oxford's Institute of Biomedical Engineering.
- Benefits: Competitive salary, potential for contract extension, and opportunities for professional growth.
- Other info: Dynamic research environment with a commitment to diversity and inclusion.
- Why this job: Make a real impact in healthcare by bridging research and practical implementation.
- Qualifications: PhD/DPhil in a relevant field with expertise in deep learning and computer vision.
The predicted salary is between 39424 - 47779 £ per year.
We are seeking two full‑time postdoctoral research scientists to join research groups of Professor Jens Rittscher and Professor Konstantinos Kamnitsas at the Department of Engineering Science, Institute of Biomedical Engineering, Headington. The post is funded by Wellcome Trust Bioimaging Technology Development Award. The initial contract is fixed‑term for 18 months, with the possibility of an extension, subject to funding.
You will apply and develop cutting‑edge machine learning methods to integrate and analyse multi‑omic data to identify disease phenotypes. A key aspect of the role is to bridge research and implementation. You will also develop novel algorithms using state‑of‑the‑art computer vision and machine learning techniques (segmentation, multimodal AI, foundation models, agentic frameworks) to detect and analyse tissue architecture components and subtle disease‑related changes.
The postdoctoral researchers will work closely with software engineers and data platform developers to translate research prototypes into practical tools, ensuring robustness, reproducibility, and usability of developed tools for wider adoption.
You should hold a relevant PhD/DPhil (or be near completion) and possess strong technical expertise in deep learning, such as models for image segmentation, classification, multi‑modal processing, foundation models, or agentic frameworks. An extensive background in computer vision and/or biomedical image analysis is essential, as well as the ability to manage own academic research and associated activities.
Informal enquiries may be addressed to Jens Rittscher (jens.rittscher@eng.ox.ac.uk) and Konstantinos Kamnitsas (konstantinos.kamnitsas@eng.ox.ac.uk). Only online applications received before midday on 6 July 2026 can be considered. You will be required to upload a cover 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 Jens Rittscher
Vacancy ID: 186837
Contact Phone: Closing Date & Time: 06-Jul-2026 12:00
Pay Scale: RESEARCH GRADE 7
Contact Email: jens.rittscher@eng.ox.ac.uk
Salary (£): Grade 7: £39,424 - £47,779 per annum (Inclusive of Oxford University Weighting)
Postdoctoral Research Assistant in Biomedical Image Analysis (2 Posts) in Oxford employer: University of Oxford
The Institute of Biomedical Engineering at the University of Oxford offers an exceptional work environment for postdoctoral researchers, fostering a culture of innovation and collaboration. With access to cutting-edge resources and a commitment to employee development, you will have the opportunity to contribute to impactful research while working alongside leading experts in the field. The department's recognition through the Athena Swan Bronze award underscores its dedication to promoting diversity and inclusion within the scientific community.
StudySmarter Expert Advice🤫
We think this is how you could land Postdoctoral Research Assistant in Biomedical Image Analysis (2 Posts) in Oxford
✨Get Involved in Local Research Communities
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We think you need these skills to ace Postdoctoral Research Assistant in Biomedical Image Analysis (2 Posts) in Oxford
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show University of Oxford that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at University of Oxford.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that University of Oxford does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at University of Oxford
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at University of Oxford. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
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