Postdoctoral Research Assistant in Biomedical Image Analysis

Corehr; Oxford; On-site; GBP 39,000 - 48,000; Full time

Job summary

University of Oxford invites applications for a Postdoctoral Research Assistant in Biomedical Image Analysis. The role is based in the Department of Engineering Science, Institute of Biomedical Engineering, Oxford, and funded by Wellcome Trust Bioimaging Technology Development Award.

The successful candidate will apply and develop deep learning methods for tissue analysis and multi-omic data integration, bridging research with practical tools for wider adoption, working with engineers and

Qualifications

• PhD/DPhil in a relevant field with strong ML background.
• Extensive background in computer vision and biomedical image analysis.
• Ability to manage own academic research and activities.

Responsibilities

• Apply and develop cutting-edge ML methods to analyse multi-omic data.
• Bridge research and implementation by translating prototypes into usable tools.
• Collaborate with software engineers and data platform teams to ensure robustness and reproducibility.

Skills

Deep learning

Computer vision

Multi-modal processing

Image segmentation

Foundation models

Agentic frameworks

Education

PhD / DPhil

Job description

Postdoctoral Research Assistant in Biomedical Image Analysis

Department of Engineering Science, Institute of Biomedical Engineering, Li Ka Shing Centre for Health Information and Discovery, Old Road Campus, Oxford, OX3 7LF

We are seeking a full-time postdoctoral research scientist 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 ([e-mail]) and Konstantinos Kamnitsas ([e-mail]).

For more information about working at the Department, see

www.eng.ox.ac.uk/about/work-with-us/

The Department holds an Athena Swan Bronze award, highlighting its commitment to promoting women in Science, Engineering and Technology.

Salary (£) : Grade 7: £39,424 - £47,779 per annum (Inclusive of Oxford University Weighting)