The University of Sheffield is a remarkable place to work. Our people are at the heart of everything we do. Their diverse backgrounds, abilities and beliefs make Sheffield a world-class university.

We offer a fantastic range of benefits including a highly competitive annual leave entitlement (with the ability to purchase more), a generous pensions scheme, flexible working opportunities, a commitment to your development and wellbeing, a wide range of retail discounts, and much more. Find out more about our benefits (opens in a new window) and join us to become part of something special.

Overview

An opportunity has arisen for an experienced image analysis and computing scientist with experience in both classical image processing and artificial intelligence to work as part of the Sheffield Platform for Imaging Research in Oncology (SPIRO) at the University of Sheffield. SPIRO represents a £4M+ transformative capital investment funded by Yorkshire Cancer Research to establish Sheffield as a leading centre for oncological imaging research. You will be based within the SPIRO initiative in the Section of Imaging, Division of Clinical Medicine under the mentorship of Dr Bilal Tahir, Professor Jim Wild and the SPIRO investigators. The position sits within Work Package 4 (Technology Integration and Computational Analysis) of SPIRO, which is central to integrating and analysing data from all imaging modalities. You will work closely with the Insigneo Institute for in silico Medicine and the Centre for Machine Intelligence, leveraging Sheffield’s unique imaging infrastructure including Yorkshire’s only MRI-PET scanner and the North of England’s only Photon-Counting CT scanner. Although you will work with several imaging modalities, including nuclear medicine and photon-counting CT, you will be based at the University MRI Unit.

Main duties and responsibilities

• Development and application of advanced image analysis techniques, including both classical and AI-based methods, to extract meaningful insights from multi-modal cancer imaging data (PET, MRI, Photon-Counting CT).

• Creation of automatic and semi-automatic segmentation tools to identify and classify regions of interest, including tumours, across different imaging modalities.

• Development of AI-driven radiomics models and predictive analytics for cancer diagnosis, treatment planning, and response assessment.

• Implementation of robust pipelines for image and data analysis techniques, maintaining software on shared high-performance computing infrastructure.

• Integration of functional, metabolic and structural imaging data across modalities for comprehensive assessment of cancer structure, metabolism and function.

• Contribution to the supervision of PhD and undergraduate students in the research group.

• Active participation in national and international collaborations with academic, clinical and industrial research partners.

• Analysis and recording of data to aid future research and produce useful findings.

• Publishing high-impact papers as one of the main authors.

• Presentation of results to collaborators, members of the research group and external audiences to disseminate and publicise research findings.

• Support for clinical translation of developed methods through collaboration with clinical partners.

• Carry out other duties, commensurate with the grade and remit of the post

Person Specification 

Our diverse community of staff and students recognises the unique abilities, backgrounds, and beliefs of all. We foster a culture where everyone feels they belong and is respected. Even if your past experience doesn't match perfectly with this role's criteria, your contribution is valuable, and we encourage you to apply. Please ensure that you reference the application criteria in the application statement when you apply.

Further Information

Next steps in the recruitment process

It is anticipated that the selection process will take place within 2–4 weeks of the closing date. This will consist of a generic and technical interview. We plan to let candidates know if they have progressed to the selection stage within two weeks of the closing date. If you need any support, equipment or adjustments to enable you to participate in any element of the recruitment process you can contact Jennifer Rodgers (j.rodgers@sheffield.ac.uk).

Our vision and strategic plan

We are the University of Sheffield. This is our vision: sheffield.ac.uk/vision (opens in new window).

What we offer

• A minimum of 41 days annual leave including bank holiday and closure days (pro rata) with the ability to purchase more.
• Flexible working opportunities, including hybrid working for some roles.
• Generous pension scheme.
• A wide range of discounts and rewards on shopping, eating out and travel.
• A variety of staff networks, providing opportunities for social interaction, peer support and personal development (for example, Race Equality, LGBT+, Women’s and Parent’s networks).
• Recognition Awards to reward staff who go above and beyond in their role.
• A commitment to your development access to learning and mentoring schemes; integrated with our Academic Career Pathways.
• A range of generous family-friendly policies
  • paid time off for parenting and caring emergencies
  • support for those going through the menopause
  • paid time off and support for fertility treatment
  • and more

More details can be found on our benefits page: sheffield.ac.uk/jobs/benefits (opens in a new window).

We are a Disability Confident Employer. If you have a disability and meet the essential criteria for this job you will be invited to take part in the next stage of the selection process.

We are a research university with a global reputation for excellence. Our ideas and expertise change the world for the better, making a real difference to society. We know that when people come together with different views, approaches and insights it can lead to richer, more creative and innovative teaching and research and the highest levels of student experience. Our University Vision (www.sheffield.ac.uk/vision) outlines our commitment to building a diverse community of staff and students that recognises and values the abilities, backgrounds, beliefs and ways of living for everyone.