Research Engineer – Satellite DSM Generation Platform
Job description
We are seeking a technical Research Engineer to contribute to a Proof\-of\-Concept project funded by Digital Futures and hosted at KTH Geoinformatics Division.
The project builds on research showing that LiDAR\-quality Digital Surface Models (DSMs) can be generated from a single optical satellite image, using deep\-learning model. The goal is to take this research from prototype to an on\-demand DEM/DSM platform, tested with real stakeholder.
You will be the core engineering hire for the project, working directly with the Principal Investigator and a small team of researchers to turn a validated research method (TRL 6–7\) into a working platform ready for first users.
The successful candidate will:
- Design and build the on\-demand DSM/DEM processing platform, from ingestion of a single optical satellite image to delivery of a high\-resolution DSM output
- Integrate and deploy the existing deep\-learning DSM generation model into a production\-ready pipeline
- Develop the infrastructure needed to serve first pilot areas selected by priject stakeholders
- Build demo/prototype tooling to showcase platform accuracy and usability to stakeholders
- Support data quality, benchmarking against reference sources (e.g. Copernicus DSM, LiDAR DSM), and documentation
- Collect and incorporate user feedback to refine the platform toward an MVP
- Work closely with the research team at KTH Geoinformatics
Qualifications
Requirements
- A graduate degree or an advanced level (higher education) in the research subject or equivalent competence.
- Documented experience in programming (e.g., Python or similar)
- Experience building or deploying data pipelines, APIs, and cloud\-based systems
- Interest or background in geospatial data, remote sensing, or Earth Observation
- Ability to work independently and take ownership of engineering deliverables
- Good communication skills in English, as this will be required in day\-to\-day work
- Experience with deep learning frameworks and deploying ML models in production
- Familiarity with cloud environments and containerized applications
- Experience handling large and heterogeneous geospatial datasets (satellite imagery, DEMs/DSMs)
- Background in Photogrammetry, Computer Vision, or Geoinformatics
- Experience with ESA data and cloud infrastructure
- Awareness of diversity and equal opportunity issues, with specific focus on gender equality
Join us at KTH
KTH shapes the future through education, research and innovation. As a leading international technical university, we play an active role in advancing the transition towards a sustainable society. At KTH, you have the opportunity to grow and develop in a creative and dynamic environment, with good working conditions and attractive benefits. Equality, diversity and equal opportunities are essential to quality and form an integral part of KTH’s core values as a university and public authority.
Learn more about our benefits and what it's like to work and grow at KTH.
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To apply for the position
Log into KTH's recruitment system to apply for this position. You are responsible for ensuring that your application is complete according to the instructions in the ad.
Your complete application must be received by KTH no later than the last day of application, midnight CET/CEST (Central European Time/Central European Summer Time).
About the employment
The employment is valid for a limited time according to the agreement \- for up to 6 months, with access according to agreement.
Other information
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Disclaimer: *In case of discrepancy between the Swedish original and the English translation of the job announcement, the Swedish version takes precedence.*
Anställningsform: särskild visstidsanställning \| Anställningens omfattning: heltid \| Antal lediga befattningar: 1 \| Sysselsättningsgrad: 100% \| Ort: Stockholm \| Län: Stockholms län \| Land: Sweden \| Referensnummer: PA\-2026\-3245 \| Kontakt: Andrea Nascetti , Andrea Nascetti , \| Publicerat: 2026\-09\-23 \| Sista ansökningsdag: 2026\-10\-02
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