Multimodal Physics-Informed Foundation Model for Air Quality

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

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