Multimodal Physics-Informed Foundation Model Air Quality
Listed on 2026-10-26
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Research/Development
AI Business & Operations, Data Scientist
University of Surrey invites applications for a world-class AI researcher to lead the development of a physics-informed, multimodal Foundation Model for air quality. You will work at the intersection of deep learning and atmospheric science, collaborating with Surrey's PAI, CVSSP and GCARE teams.
You will design, pre-train, and fine-tune large models on HPC resources, embedding physical constraints to ensure interpretability and policy relevance, while delivering web-based proof-of-concept tools
Our team is growing, and we are hiring a Multimodal Physics-Informed Foundation Model for Air Quality in Guildford, England, United Kingdom.
Learn more about the Multimodal Physics-Informed Foundation Model for Air Quality role in the description above.
We appreciate your interest in this position.
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