Postdoctoral Research Assistant in Biomedical Image Analysis Closing date: Nov 02, 2026

University of Oxford, Department of Engineering Science; Oxford; Presencial; GBP 39.000 - 48.000; Jornada completa

Descripción de la vacante

The University of Oxford, Department of Engineering Science, invites applications for a full-time Postdoctoral Research Assistant in Biomedical Image Analysis in Headington. The role is funded by the Wellcome Trust Bioimaging Technology Development Award and is fixed-term for 18 months with potential extension.

You will develop and apply machine learning techniques to integrate multi-omic data, perform tissue analysis, and translate prototypes into practical tools with a focus on robustness and

Formación

• PhD/DPhil or near completion with strong research experience.
• Extensive background in deep learning for image analysis.
• Experience in computer vision and biomedical image analysis.
• Ability to manage academic research and related activities.

Responsabilidades

• Develop and apply cutting-edge ML methods to integrate multi-omic data.
• Bridge research and implementation to produce usable tools.
• Collaborate with software engineers and data platform teams.
• Publish findings and manage project activities.

Conocimientos

Deep learning

Computer vision

Biomedical image analysis

Multimodal processing

Foundation models

Agentic frameworks

Image segmentation

Model development

Educación

PhD / DPhil (or near completion)

Descripción del empleo

United Kingdom

ENGINEERING SCIENCE

Careers

Postdoctoral Research Assistant in Biomedical Image Analysis

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

Full‑time, fixed‑term 18 months

Closing date: Nov 02, 2026 12:00PM

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.

Contact name: Professor Jens Rittscher

Contact email: [e-mail]