Doktorand (licentiat) inom artificiell intelligens för jordobservation
Core
Developing AI-driven Earth Observation (EO) methods for environmental monitoring, including tracking illegal waste, estimating wildfire emissions, and assessing pollution.
Role type
PhD candidate (Licentiate) in AI for Earth Observation
Builds
Robust and scalable AI solutions for environmental monitoring, situational awareness, and sustainable decision-making using EO big data analysis.
Domain
Environmental science, Geodesy, Geoinformatics, Remote Sensing
Deliverable
production ML models
Required skills
Machine learning, Deep learning, Computer vision, Image analysis, Pattern recognition, Python, C++, Matlab, Generative AI, Geospatial foundation models
Preferred skills
Experience with generative AI and/or geospatial foundation models
Technologies
Python, C++, Matlab
Responsibilities
Analyze multimodal, multitemporal, and multi-resolution satellite imagery and geospatial data; Develop innovative models to capture complex spatiotemporal dynamics; Build robust AI solutions for environmental applications.
Seniority
PhD Candidate (Researcher)
