Postdoctoral Researcher in Geospatial AI & Earth Observation

Some features of our web site require JavaScript to function properly. Please enable JavaScript in your browser. Position Postdoctoral Researcher in Geospatial AI & Earth Observation Employer KTH Royal Institute of Technology Since 1827, KTH Royal Institute of Technology, has grown to become an international leading technical university. As the largest institution in Sweden for technical education and research, we bring together students, researchers, and educators worldwide. Our activities are grounded in a strong tradition of advancing science and innovation, focusing on contributing to sustainable societal development. Homepage: https://www.kth.se Location Stockholm, Sweden Sector Academic Relevant divisions Earth and Space Science Informatics (ESSI) Hydrological Sciences (HS) Natural Hazards (NH) Type Full time Level Entry level Salary Open Required education PhD Application deadline Open until the position is filled Posted 9 October 2026 Job Description Postdoctoral Researcher in Geospatial AI & Earth Observation Location: KTH Royal Institute of Technology, Stockholm, Sweden Duration: 2 Years (Full-time position with possibility of extension) Host Department: Department of Real Estate and Construction Management & Digital Futures About The Position Are you a driven early-career researcher passionate about pushing the boundaries of AI, Earth Observation, and Spatial Data Science? Join us at KTH Royal Institute of Technology for a 2-year postdoctoral fellowship at the cutting edge of Geospatial AI. This position offers a unique opportunity to lead methodological breakthroughs in Physics-Informed Deep Learning, Spatial Foundation Models, and Resource-Efficient (Green) AI. You will work within a high-impact, intersectoral ecosystem. Key Responsibilities & Research Directions

• Next-Generation Geospatial AI: Research and develop novel spatiotemporal deep learning models to unify dynamic satellite EO archives and high-resolution terrestrial spatial data.
• Physics-Informed & Green AI Paradigms: Embed physical constraints and explore resource-efficient training algorithms (e.g., Forward-Forward learning) to overcome computational bottlenecks and reduce carbon footprints.
• High-Performance Computing: Train and deploy multi-modal foundation models.
• Interdisciplinary Collaboration: Engage with top researchers, data engineers, and urban decision-makers to transform satellite intelligence into real-world societal impact.

What We Are Looking For

• Education: A Ph.D. degree (or close to completion) in Geospatial Information Science, Computer Science, Geodesy, Remote Sensing, Data Science, Applied Mathematics, or a related field.
• Technical Skills: Strong background in Deep Learning (PyTorch/TensorFlow), GeoAI/Spatial Data Analytics, and multi-modal data fusion.
• Bonus Qualifications: Experience with Physics-Informed Neural Networks (PINNs), Green AI algorithms, satellite imagery processing (Copernicus Sentinel data), or high-performance supercomputing environments.
• Soft Skills: Excellent track record of scientific publication, problem-solving mindset, and strong collaborative skills in an international context.

What We Offer

• Top-Tier Research Environment: A position at KTH—one of Europe’s leading technical universities—embedded within Digital Futures, Sweden’s flagship research center for digital transformation.
• State-of-the-Art Resources: Full access to national GPU supercomputing clusters (NAISS) and cutting-edge geospatial datasets.
• Career Development: Ample funding for international conferences, workshops, and networking, designed to establish your academic independence and leadership.
• Future Prospects: Fixed 2-year contract with the potential for extension based on performance and ongoing research funding.
• Excellent Living Standards: Competitive Swedish post-doc salary, full social security benefits, paid parental leave, healthcare, and high quality of life in Stockholm.

How To Apply Interested candidates should submit:

• Cover letter detailing research interests and motivation.
• Curriculum Vitae (CV) including a full list of publications.
• Brief research statement outlining relevant expertise.
• Contact information for two academic references.

Contact: Dr. Jingbin Liu, Email: jingbin@kth.se Equal Opportunity Employer: KTH is committed to gender equality and diversity. We encourage applications from underrepresented groups in technical disciplines. Go back