About the Role
Job Duties
We are seeking a technical research engineer to contribute to a Proof-of-Concept project funded by Digital Futures and hosted at KTH’s Division of Geoinformatics.
The project builds on research demonstrating that LiDAR-quality digital surface models (DSMs) can be generated from a single optical satellite image using a deep learning model. The goal is to advance this research from prototype to a cloud-based DEM/DSM platform, tested in collaboration with real end-users.
You will serve as the central engineering resource in the project, working directly with the Principal Investigator and a small research team to convert a validated research method (TRL 6–7) into a functional platform ready for early adopters.
As a successful candidate, you will:
Design and build the cloud-based DSM/DEM processing platform, from ingestion of a single optical satellite image to delivery of a high-resolution DSM
Integrate and deploy the existing deep learning model for DSM generation into a production-ready pipeline
Develop the infrastructure required to serve the initial pilot areas selected by project stakeholders
Build demo/prototype tools to demonstrate the platform’s accuracy and usability to stakeholders
Support data quality assessment, comparison against reference datasets (e.g., Copernicus DSM, LiDAR DSM), and documentation
Collect and integrate user feedback to further develop the platform toward a Minimum Viable Product (MVP)
Collaborate closely with the research team at KTH Geoinformatics
Qualifications
Required
Completed degree at bachelor’s or master’s level in a relevant field or equivalent competencies.
Documented experience in programming (e.g., Python or similar).
Experience building or operating data pipelines, APIs, and cloud-based systems.
Interest in or background in geospatial data, remote sensing, or Earth observation.
Ability to work independently and take ownership of technical deliverables.
Good communication skills in English, as it is required for daily work.
Meritorious
Experience with deep learning frameworks and deployment of ML models in production.
Familiarity with cloud environments and containerized applications (e.g., Docker, Kubernetes).
Experience handling large and heterogeneous geospatial datasets (e.g., satellite imagery, DEM/DSM).
Background in photogrammetry, computer vision, or geoinformatics.
Experience with ESA data and cloud infrastructure.
Awareness of diversity and equality issues, with a particular focus on gender equality.
Personal qualities will be given significant weight in the assessment.
Become Part of KTH
KTH shapes the future through education, research, and innovation. As a leading international technical university, we actively drive and contribute to the transition toward a sustainable society. Here, you will have the opportunity to grow and develop in a creative and dynamic workplace with excellent working conditions and benefits. Gender equality, diversity, and equal treatment are quality issues and an integral part of KTH’s values as both a university and a government agency.
Learn more about our benefits and what it’s like to work and develop at KTH.
Union Representatives
Contact information for union representatives.
Application
Apply via KTH’s recruitment system. As an applicant, you are responsible for ensuring your application is complete before submission.
Applications must reach KTH no later than the final application deadline at midnight (CET/CEST).
About the Employment
This is a time-limited appointment per agreement — up to 6 months, with start date as agreed.
Additional Information
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