About Position/Job
The University of Cambridge is offering a fully funded Postdoctoral Research Associate position in Mathematical Imaging and Artificial Intelligence for Cultural Heritage within the Department of Applied Mathematics and Theoretical Physics (DAMTP). This two-year fixed-term postdoctoral role is part of the interdisciplinary research project “MakingAI: AI-Driven Integration of ‘Messy’ Data in Technical Art History”, supervised by Prof. Carola-Bibiane Schoenlieb.
The position is embedded in the Cambridge Image Analysis group and focuses on developing mathematically grounded, interpretable, and uncertainty-aware AI methods for analysing complex and incomplete cultural heritage data. The project integrates mathematics, machine learning, imaging, and technical art history, in close collaboration with the Fitzwilliam Museum and the McDonald Institute for Archaeology. Based in Cambridge, UK, this role advances foundational research in AI and imaging while directly supporting art history, conservation, and heritage science.
Position/Job Details
- Position: Postdoctoral Research Associate
- Institution: University of Cambridge
- Department: Department of Applied Mathematics and Theoretical Physics
- Research Field: Mathematics, AI, Technical Art History
- Location: Cambridge, United Kingdom
- Number of Posts: 1
- Job Type: Full-time, Postdoctoral (Fixed Term – 2 years)
- Start Date (Anticipated): Flexible, 2026
- Working Hours: Full-time
- Salary Range: £37,694 – £46,049 per annum
- Required Degree/Diploma: PhD
Research Area
- Mathematical imaging
- Inverse problems
- Artificial intelligence and machine learning
- Interpretable and uncertainty-aware AI
- Multi-modal and heterogeneous data integration
- Technical art history and cultural heritage science
Eligibility & Qualifications
Minimum Requirements:
- PhD in Mathematics or a closely related discipline (completed or near completion)
- Strong background in mathematical imaging, inverse problems, or AI
- Excellent computational and methodological development skills
Preferred Qualifications:
- Experience with interpretable or explainable AI
- Interest in interdisciplinary research
- Familiarity with real-world, incomplete, or uncertain datasets
- Prior exposure to art history or cultural heritage (advantageous, not required)
Key Responsibilities
- Develop novel mathematical and computational methods for image analysis and AI
- Advance explainable and uncertainty-aware machine learning approaches
- Collaborate with museum scientists, conservators, and art historians
- Publish research in leading international journals and conferences
- Contribute to interdisciplinary dissemination and public engagement activities
Application Process
How to Apply
Applications must be submitted online via the University of Cambridge recruitment system. Applicants should quote reference LE48217 in all correspondence.
Required Documents:
- Full Curriculum Vitae (CV)
- Contact details of two academic referees (including email addresses)
Important Dates
- Application Opens: 15 December 2025
- Deadline: 29 January 2026
- Interview Date: 17–18 February 2026 (provisional)
Useful Links
- Institution Website: University of Cambridge
- Official Notification Link: click here
- Apply Now: click here
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