Postdoctoral Researcher in Geospatial AI & Earth Observation

KTH Royal Institute of Technology invites applications for a two-year postdoctoral position focusing on Geospatial AI and Earth Observation within the Department of Real Estate and Construction Management and Digital Futures. The successful candidate will drive methodological innovations in physics-informed deep learning, spatial foundation models, and resource-efficient green AI algorithms. Responsibilities include designing spatiotemporal deep learning architectures, managing multi-modal satellite data, and collaborating across disciplines to address urban and environmental challenges. Applicants are expected to possess a strong background in deep learning, remote sensing, or spatial analytics alongside an established publication record.

• Research and develop spatiotemporal deep learning architectures to integrate satellite archives with terrestrial spatial data.
• Formulate physics-informed and resource-efficient training paradigms to decrease computational footprints and model bottlenecks.
• Train, deploy, and scale multi-modal foundation models using high-performance computing clusters.
• Collaborate with interdisciplinary researchers, data engineers, and municipal stakeholders to apply satellite intelligence.
• Publish research findings in high-impact peer-reviewed journals and present outcomes at international conferences.