Research Assistant in AI- Medical Image Analysis Early Detection of Cancer

This is an outstanding opportunity for a postgraduate wishing to work in AI-based medical image analysis, with a background in machine learning, to work within the Breast Imaging Research group under the supervision of Prof Susan Astley Theodossiadis. The post holder will be in the Division of Informatics, Imaging and Data Science, and based in the Stopford Building on Oxford Road.

The candidate will support the aims of the NIHR Biomedical Research Centre. This innovative project will study AI methods for the early detection of breast cancer from mammograms.

This position offers an ideal opportunity for an enthusiastic, well‑motivated individual to work as part of a sociable multi‑disciplinary team consisting of a research fellow, research associate and PhD student supported by colleagues with expertise in AI and epidemiology. The ideal candidate will have excellent computational skills and will be able to work with minimal supervision. Experience of artificial intelligence and coding in Python is essential for the position.

• Fantastic market leading Pension scheme
• Excellent employee health and wellbeing services including an Employee Assistance Programme
• Exceptional starting annual leave entitlement, plus bank holidays
• Additional paid closure over the Christmas period
• Local and national discounts at a range of major retailers

As an equal opportunities employer we welcome applicants from all sections of the community regardless of age, sex, gender (or gender identity), ethnicity, disability, sexual orientation and transgender status. All appointments are made on merit.

Our University is positive about flexible working.

Hybrid working arrangements may be considered. Please note that we are unable to respond to enquiries, accept CVs or applications from Recruitment Agencies.

Any recruitment enquiries from recruitment agencies should be directed to People.

Any CV’s submitted by a recruitment agency will be considered a gift.

Please note this role is not eligible for sponsorship under the Skilled Worker route of the Points Based System. Candidates will need to be able to demonstrate their right to work in the UK in order to be eligible to take up the post.

Please note that the interviews for these posts will be held in the last week of July/first week in August.

Name:
Prof Susan Astley Theodossiadis

Email:

Email:
People.