Graduate School for Geoinformatics
A structured doctoral programme focused on interdisciplinary research in geoinformatics and spatial data science.
Best for:Best for doctoral candidates with a background in geoinformatics, computer science, geography, or related fields seeking a structured research environment.
Overview
The Graduate School for Geoinformatics (GSGI) at the University of Münster offers a structured doctoral education designed to foster innovation in the interdisciplinary field of geoinformatics. The programme focuses on advanced research areas including spatial data science, machine learning, spatial intelligence, and situated computing. Doctoral researchers benefit from a modular course structure, international symposiums, and a vibrant visiting researcher programme. The school aims to prepare graduates for leadership roles in industry, government, and academia by providing high-level training at the frontier of geographic information science.
What you'll do
- Conduct original research in geoinformatics and related spatial disciplines.
- Participate in a modular course programme equivalent to 30 ECTS credit points.
- Organize and contribute to the annual international symposium.
- Engage in monthly virtual joint seminars and research discussions.
- Complete a six-month mobility measure with an external partner.
- Develop and apply computer-supported solutions to spatially referenced problems.
Requirements
Degree required: Master's degree in geoinformatics, computer science, geography, ecology, mathematics, or information systems.
Degree offered: PhD
Language: English; B2 level required, verified via placement test or interview.
Instruction: English
- Advanced knowledge in geographic information science.
- Strong analytical and problem-solving skills.
- Ability to work in an interdisciplinary research environment.
- Proficiency in English (B2 level or higher).
- Must hold a Master's degree or equivalent.
Funding & terms
Programme and admissions
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- Intake
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- Duration
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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How to apply
Interested candidates should visit the official programme website to review specific application instructions. Applications are accepted on a rolling basis as there is no fixed deadline.
- CV
- Academic transcripts
- Proof of English proficiency
Contact
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