AI Scientist in Oncological Imaging - Remote Opportunity

About the Role

Join the University of Sheffield as an AI Scientist in Oncological Imaging and contribute to groundbreaking research in cancer imaging. This remote AI Scientist position offers an exciting opportunity to work with a diverse team dedicated to advancing oncological imaging techniques.

What You'll Do

• Develop and apply advanced image analysis techniques, including classical and AI-based methods, to extract insights from multi-modal cancer imaging data (PET, MRI, Photon-Counting CT).
• Create automatic and semi-automatic segmentation tools to identify and classify regions of interest, including tumors, across different imaging modalities.
• Develop AI-driven radiomics models and predictive analytics for cancer diagnosis, treatment planning, and response assessment.
• Implement robust pipelines for image and data analysis techniques, maintaining software on shared high-performance computing infrastructure.
• Integrate functional, metabolic, and structural imaging data across modalities for comprehensive assessment of cancer structure, metabolism, and function.
• Contribute to the supervision of PhD and undergraduate students in the research group.
• Participate in national and international collaborations with academic, clinical, and industrial research partners.
• Analyze and record data to aid future research and produce useful findings.
• Publish high-impact papers as one of the main authors and present results to collaborators and external audiences.

Requirements

• Good Honours degree in Physics, Engineering, Computer Science, or related discipline (or equivalent).
• PhD in medical image processing/analysis (or equivalent).
• Experience with artificial intelligence (machine learning/deep learning).
• Experience with classical image processing techniques (e.g., classification/segmentation/registration).
• Strong programming skills and experience with high-performance computing environments.
• Track record of publication in computational and imaging journals as a primary author.
• Effective communication skills, both written and verbal, with experience in delivering presentations.
• Practical experience of working with oncological images (desirable).
• Ability to help supervise PhD students and researchers in technical aspects of image computing and artificial intelligence (desirable).

What We Offer

• A minimum of 41 days annual leave including bank holidays 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.
• Recognition Awards to reward staff who go above and beyond in their role.
• A commitment to your development with access to learning and mentoring schemes.
• A range of generous family-friendly policies.