PhD · Computer Science

PhD in geographical information science: autonomous GIS and spatial AI

Research how large language models and multi-agent AI systems can plan and run geographic analyses on their own, and how far their results can be trusted. You shape the questions with your supervisors.

Where
🇸🇪 Lund UniversitySweden
Deadline
Nov 25, 2026Closes in 21 days
Funding
Salaried four-year doctoral post at Lund's GIS Centre
Position
PhDComputer Science

About the position

The GIS Centre in Lund's Department of Earth and Environmental Sciences (MGeo) runs research in GeoAI and spatial intelligence. This post is on autonomous GIS: using large language models and multi-agent systems to plan geospatial workflows, and judging how reliable AI-generated analyses are.

The specific research questions are developed with your supervisors.

What you will do

  • Carry out independent research leading to a thesis, mainly published in peer-reviewed journals.
  • Take doctoral courses and seminars, and travel to conferences.
  • Teaching and departmental work can take up to 20% of your time, which extends the employment.

Who can apply

  • A second-cycle qualification, or at least 240 credits with at least 60 at second-cycle level, or equivalent knowledge, including an independent degree project of at least 30 credits.
  • A master's in GIS, geoinformatics, computer science, AI or a close field.
  • Skills in Python, machine learning and deep learning.
  • Good written and spoken English. The application must be in English.

What is offered

  • A salaried, fixed-term, full-time doctoral post at Lund University. The vacancy gives no salary figure.
  • Four years of full-time study, starting on 7 January 2027 or as agreed.

How to apply

  • Apply through Lund's vacancy portal by 25 November 2026.
  • Send a CV, a personal letter on your interest and how the topic fits your background, and copies of your certificates or diplomas. Grades, references and recommendation letters are welcome.

Apply on the official posting

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