Postdoctoral Research Assistant in Biomedical Image Analysis

University of Oxford; Oxford; On-site; GBP 34,000 - 42,000; Full time

Job summary

The University of Oxford's Department of Engineering Science invites applications for a full-time postdoctoral research scientist to advance deep learning methods for multi-omic data integration and disease phenotyping.

You will bridge research and implementation, develop novel computer vision algorithms for tissue analysis, and co-create robust, reusable tools with software engineers, funded by Wellcome Trust.

The initial contract is 18 months with possible extension subject to funding.

Qualifications

• PhD/DPhil or near completion.
• Extensive background in computer vision or biomedical image analysis.
• Strong technical expertise in deep learning for image analysis and multimodal data.

Responsibilities

• Bridge research and implementation by translating prototypes into practical tools.
• Develop deep learning models for segmentation, classification and multimodal tissue analysis.
• Collaborate with software engineers and data platform developers to ensure robustness and reproducibility of tools.

Skills

Deep learning

Image segmentation

Multi-modal processing

Foundation models

Agentic frameworks

Computer vision

Education

PhD/ DPhil or near completion

Job description

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

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.

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.