Internship (m/f/d) - Geospatial Embeddings
Internship (m/f/d) - Geospatial Embeddings
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Job Description
Become part of EIFER and drive climate solutions where science meets industry.
EIFER seeks a student for an internship position (m/f/d) in the field of Geospatial Embeddings.
Start: 01.07.2025
Duration: max. 6 months (compulsory internship)
Weekly working hours: 39.5
Remuneration: 560 monthly
In this internship you will apply machine learning methods in a geospatial context to capture and represent the distinct character of places. You assess its effectiveness in acting as a predictor of missing data as well as develop and evaluate a more advanced embedding model in the context of an existing opensource library.
Relevant papers (recommended to read in order):
- Applying geospatial machine learning model to prediction tasks
- Calculating urban morphology metrics using open geographic data
- Developing a new geospatial embedding model
- Currently enrolled as a University student in a master program
preferred study subjects: Data Science Computer Science Geographic Information Systems. - Good understanding of Python and its data science libraries (especially pandas)
- Familiarity with the Pytorch framework
- Basic understanding of machine learning concepts (embeddings neural networks)
- Experience with git (push pull merge)
- Understanding of geographic information systems (GIS) is a plus
- Confident in working in English
- Strong organizational and communication skills.
- Proficiency in Microsoft Office Suite (Word Excel PowerPoint).
- Innovative Projects: Engage in impactful research.
- Global Collaboration: Work in an international diverse team.
- Extensive Networks: Access local and international scientific networks.
Isaac Boates
For more information visit
Required Experience:
Unclear Seniority
Employment Type
Full-Time
