We invite applications for a Postdoctoral Research Associate position at the University of Cambridge to join the Cambridge Image Analysis group in the Department of Applied Mathematics and Theoretical Physics. The successful candidate will work on the research project MakingAI: AI-Driven Integration of “Messy” Data in Technical Art History, a close interdisciplinary collaboration between the Department of Applied Mathematics and Theoretical Physics, the Fitzwilliam Museum and the McDonald Institute for Archaeology. The MakingAI project brings together mathematics, artificial intelligence and technical art history to develop mathematically grounded and explainable AI methods for the integration and interpretation of multi-modal, heterogeneous, incomplete and uncertain data arising in the scientific investigation of artworks and historical objects. The project aims to advance the mathematical foundations of imaging and machine learning while directly supporting research in art history, conservation and heritage science. The postholder will be based in the Department of Applied Mathematics and Theoretical Physics within the Cambridge Image Analysis group, a research team working on mathematical imaging, inverse problems and the foundations of deep learning. The role offers a highly interdisciplinary research environment, with close interaction with museum scientists, conservators and art historians at the Fitzwilliam Museum and the McDonald Institute, as well as opportunities to engage more broadly with researchers across the University of Cambridge and international partners.
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