PhD Scholarship in Geosciences, GeoAI, and Contrastive Learning Technical University of Munich in Germany

PhD opening in Geosciences, GeoAI, geospatial artificial intelligence, and contrastive learning at the Technical University of Munich (Professorship Big Geospatial Data Management, Germany).

The position is a research associate / doctoral candidate role focused on research activities around hard negative sampling for contrastive learning and its applications in geospatial AI. The post is positioned in a highly international research environment with close links to research institutes and industry in the Munich “Space Valley”.

Funding/employment: full-time 100% position, TV-L E13, for 3 years, with the opportunity to pursue a doctoral degree. This is a salaried research position rather than a scholarship stipend.

Eligibility highlights: completed master’s degree in mathematics, computer science, physics, geoinformatics, data science, or related fields; strong background in machine learning; familiarity with contrastive learning, computer vision, or geospatial data is welcome; excellent programming skills (Python, C++, etc.); ability to work independently; willingness to learn; fluent English required; German is a plus.

Application window: apply by 1 August 2026. The envisaged start date is between September and November 2026.

How to apply: send a single PDF containing your motivation letter, CV, degree certificates, transcripts, employment certificates, and other relevant documents to [email protected].

Announcer/poster: Rehan Ullah is linked in the post, but the actual opening is from the Professorship Big Geospatial Data Management at TUM.