PhD in AI for Earth Observation at KTH Royal Institute of Technology KTH Royal Institute of Technology in Sweden

PhD opportunity in Artificial Intelligence for Earth Observation at KTH Royal Institute of Technology in Stockholm, Sweden.

The Division of Geodesy and Geoinformatics is inviting applications for a 100% full-time doctoral position focused on advancing AI-driven Earth Observation methods for environmental intelligence. The project centers on analyzing multi-modal, multi-temporal, and multi-resolution satellite imagery together with geospatial data.

Research interests and keywords: artificial intelligence, machine learning, deep learning, computer vision, image analysis, pattern recognition, geospatial data, satellite imagery, geomatics, environmental science.

Eligibility highlights: a Master’s degree in Geomatics, Computer Science, Electrical Engineering, or a related natural sciences/engineering field; strong background in image analysis, computer vision, pattern recognition, ML/DL, and data science; programming skills in Python, C++, and Matlab; fluent spoken English and excellent scientific reading/writing skills meeting English B/6; prior experience with generative AI or geospatial foundation models is an advantage.

Funding and contract: the position is a paid doctoral appointment under KTH’s doctoral student salary agreement, with employee benefits. The contract is for up to 4 years full-time equivalent, with an initial two-year employment period targeting a Licentiate degree and sequential renewals thereafter. Up to 20% may include training or departmental administration.

Application window: deadline is 2026-07-09 at midnight CEST. Applications must be submitted through the KTH recruitment system under reference PA-2026-1857.

Application materials: certified diplomas, transcripts, and language certificates; a CV; a maximum 2-page motivation/application letter; and representative publications or technical reports with abstracts and links for longer documents.

For scientific or administrative questions, contact Prof. Yifang Ban at [email protected].