Postdoctoral Scientist at University of Oxford

Location: Level 5, JR Hospital, Headington, Oxford, OX3 9DU

We are looking for a creative and academically driven Postdoctoral Researcher with a strong background in computational science, image analysis and AI/machine learning. This is an excellent opportunity for those who wish to build the foundation for an independent career in academia or industry. The successful candidate will be an integral member of Professor Jens Rittscher’s Lab at the Big Data Institute of Biomedical Engineering, and Dr Friedrich’s lab at the Translational Gastroenterology Unit (TGU). The TGU builds on uniting excellent clinical programmes in IBD with cutting edge fundamental science programmes in mucosal immunology. The new state of the art laboratories are in close proximity to clinical gastroenterology and bring together scientists, clinician scientists and gastroenterologists with the objective of translating fundamental research in mucosal immunology into enhanced treatments for inflammatory bowel disease, liver disease and cancer. The post holder will be in charge of developing and delivering AI/ML-based approaches for personalising medical therapies in UC, leveraging existing data (images and medical records) from 7 international patient cohorts.

The post holders will be responsible for managing their own academic research and administrative activities with guidance provided by senior colleagues. The work will involve maintaining ongoing scientific discussion with the PIs and group members and keep up-to-date knowledge of relevant publications. The successful candidate will also have the opportunity to represent the research group at external meetings/seminars, either with other members of the group or alone.

To be considered for this position you should Hold a PhD/Dphil (or near completion) in a relevant field. Having prior experience in computational pathology would be a desirable asset for this post. You should possess an excellent understanding of both big data handling/curation and machine learning/AI analysis approaches, as well as a keen interest in translational gastroenterology.  

We encourage those interested in applying to contact Matthias Friedrich

This post is full time and fixed term until 30/09/2024.

Applications for this vacancy should be made online and you will be required to upload a supporting statement and CV as part of your application. The supporting statement must explain how you meet each of the selection criteria for the post using examples of your skills and experience.

Only applications received before 12:00 midday on 26^th June 2023 will be considered.