Doctoral student (licentiate) in Artificial Intelligence for Earth Observation
The KTH Royal Institute of Technology has announced a doctoral student (licentiate) position in Artificial Intelligence for Earth Observation. The role focuses on advancing AI-driven methods for environmental intelligence to support sustainable decision-making through satellite imagery and geospatial data analytics. Applications include illegal waste monitoring, wildfire emission estimation, and pollution assessment.
The position is located in Stockholm, Sweden, within the School of Architecture and Built Environment. The candidate will explore cutting-edge machine learning and computer vision approaches for analyzing multi-modal, multi-temporal, and multi-resolution geospatial data.
Key qualifications for the role include:
- A Master’s degree in Geomatics, Computer Science, Electrical Engineering, or a related discipline.
- Strong proficiency in image analysis, computer vision, pattern recognition, and machine learning/deep learning.
- Coding skills in Python, C++, or Matlab.
- Prior experience with generative AI or geospatial foundation models is highly valued.
Deadline: July 09th, 2026