Eleni Tsangouri

THERMOPINN is a research project at CY Cergy Paris Université (L2MGC), in partnership with HEJAUS, focused on the climate-driven degradation of building envelopes . The project combines non-destructive testing (NDT) imaging , infrared thermography , and physics-informed AI / PINNs to detect and predict structural damage. The opportunity is aimed at a Master's graduate with a background in Civil/Structural Engineering , Applied Mathematics , or Computer Science . Applicants with an interest in machine learning , NDT , or computer vision are especially encouraged to apply. This post appears to be a research recruitment call rather than a scholarship announcement. The application deadline is 31 August 2026 . To apply, send your CV and motivation letter to [email protected] and [email protected] . Keywords: civil engineering, structural engineering, machine learning, computer vision, infrared thermography, structural health monitoring, climate resilience, physics-informed neural networks.