Research Assistant

We are seeking two motivated and talented Research Assistants to join the pioneering TRAPCAT (Transformative Artificial Intelligence Research for Personalised Cancer Treatment) project within the Department of Computer Science. This exciting research initiative aims to harness the power of artificial intelligence to generate virtual stained histopathology images for breast cancer, helping to advance personalised treatment approaches and improve patient outcomes.

Working closely with Professor Amr Ahmed and a multidisciplinary research team, you will contribute to the design and delivery of cutting-edge research in medical image analysis, computer vision and artificial intelligence. You will play a key role in coordinating research data, developing and evaluating AI models, analysing complex imaging datasets and contributing to the dissemination of research findings through reports, presentations and academic publications.

This is an excellent opportunity to contribute to research with real-world clinical impact while developing your expertise in AI-driven healthcare innovation. We are particularly interested in candidates who can make an immediate contribution to the project and who are passionate about applying advanced computational techniques to solve important healthcare challenges.

As Research Assistant you will hold a degree and postgraduate qualification in a relevant subject area and have experience of conducting high-quality research in image processing, computer vision or medical image analysis. You will be confident in applying quantitative and qualitative evaluation techniques and have experience of carrying out comprehensive literature reviews and producing clear, high-quality written reports.

You will have strong technical skills, including experience with Python and relevant AI, image-processing and data-analysis tools and libraries. Knowledge of technologies such as OpenCV, OpenSlide, QuPath, VALIS and related software would be advantageous.

As a self-motivated researcher, you will be able to work independently while collaborating effectively with academic colleagues and external partners. You will have excellent organisational and communication skills, a commitment to research integrity and the ability to manage competing priorities to meet project deadlines.

Rewards & Benefits:
- A minimum of 36 days annual leave per annum, pro rata (inclusive of bank holiday and University closure days)
- Discounted membership to our onsite state-of-the-art sport and leisure facilities
- Staff benefits scheme, which provides you with discounts across the high street, supermarket shopping, cinema tickets, dining out and more
- Employee assistance programme with access to free confidential counselling sessions, legal & financial advice, and health & wellbeing resources
- A wide range of development programmes to enhance your career
- Beautiful award-winning on-campus working environment
- Automatic enrolment into the Local Government Pension Scheme