Senior Research Associate in Advanced Paediatric Imaging and Data Science
Join Professor Sam Behjati’s team to advance paediatric imaging research, data analytics, and collaborative science in Cambridge’s Department of Paediatrics.
Best for:Best for postdoctoral researchers with a PhD in computer science, AI, or data science, who have experience in advanced imaging, data analytics, and independent problem-solving, and are passionate about paediatric healthcare research.
Overview
This fixed-term Senior Research Associate position is based in the Department of Paediatrics at the University of Cambridge, led by Professor Sam Behjati. The role focuses on high-level research at a level comparable to lecturing staff, with responsibilities spanning advanced imaging, data science, and grant administration. The successful candidate will contribute to cutting-edge projects, assist in teaching seminars, and collaborate within a vibrant research community. The position is ideal for experienced researchers with a PhD in computer science, AI, data science, or related fields, seeking to make an impact in paediatric healthcare through innovative methodologies and interdisciplinary collaboration.
What you'll do
- Conduct independent and collaborative research at a level comparable to lecturing staff, focusing on advanced imaging and data science in paediatrics.
- Assist with grant administration, including writing reports for funding bodies and managing project budgets.
- Present seminars and contribute to the research group’s teaching programme, fostering academic engagement and knowledge sharing.
- Participate in the broader research initiatives of the Department of Paediatrics, ensuring alignment with departmental goals.
- Leverage state-of-the-art facilities and high-performance computing resources to advance research projects.
- Collaborate with interdisciplinary teams to develop and implement innovative methodologies for paediatric healthcare research.
Requirements
Degree required: PhD (or equivalent) in Computer Science, Information Systems, AI, Data Science, or a related quantitative field
Language: English; proficiency sufficient for academic research and collaboration
Instruction: English
- Demonstrable experience in independent problem-solving and research at a postdoctoral level
- Strong proficiency in advanced imaging techniques or data science methodologies
- Exceptional communication, networking, and teamwork skills for collaborative research environments
- Experience with grant administration or writing technical reports for funding bodies
- Ability to work with high-performance computing resources and state-of-the-art research facilities
- Applicants must be eligible to live and work in the UK
- No explicit restrictions on nationality, but UK work eligibility is mandatory
Funding & terms
How to apply
Deadline: 2026-10-15
Applicants must apply online via the University of Cambridge’s job portal. A covering letter outlining how the candidate matches the role criteria and a CV must be uploaded. Additionally, details of referees, including email addresses and phone numbers, must be provided, with one referee being the most recent line manager. The reference number RP51231 must be quoted in the application and any correspondence.
- Covering letter
- CV
- Details of referees (including email addresses and phone numbers)
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