Publisher
source

Aalborg University

PhD in Semantic GNSS Reflectometry (GNSS-R) for Scalable Real-Time Earth Observation Aalborg University in Denmark

Degree Level

PhD

Field of study

Computer Science

Funding

PhD stipend funded by the Technical Faculty of IT and Design of Aalborg University through the MASSIV-EO project. The position is full-time for normally 3 years and includes standard PhD employment terms in Denmark; no stipend amount is stated. The role includes access to in-house modelling, data processing, data assimilation expertise, software, and HPC infrastructure.

Deadline

Expired

Country flag

Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Data Science
Signal Processing
Remote Sensing
Mathematics
Geography
Civil Engineering
Earth Science
Earth Observation
Cubesat Technology
Geodesy
Satellite Geodesy
Programming Language
Physics

About this position

PhD position in Semantic GNSS Reflectometry (GNSS-R) for Scalable Real-Time Earth Observation at Aalborg University, Denmark.

This PhD is part of the MASSIV-EO project, which focuses on real-time Earth observation from dense nanosatellite/CubeSat constellations and the development of innovative GNSS-based sensing methods and AI models to detect Earth surface processes. The project is hosted in the Department of Sustainability and Planning (PLAN) within the Technical Faculty of IT and Design, with collaboration across departments including Electronic Systems.

The research topic explores GNSS-R as a low-cost, low-power bistatic remote sensing technique optimized for nanosatellite platforms. The work involves instrument design, signal processing, calibration, error characterization, constellation-level data integration, and assessing whether GNSS-R on CubeSats can deliver scientifically meaningful geophysical measurements at useful temporal and spatial resolutions.

Suitable backgrounds include Geodesy, Remote Sensing, Civil Engineering, Physics, Applied Mathematics, Computer Science/Engineering, or a comparable discipline. The ideal candidate should have strong numerical modelling and programming skills, and experience in at least two of the following: GNSS signal processing, AI and data science, and satellite geodetic/Earth Observation data processing. Good English skills are required.

The position is a PhD stipend, normally for 3 years, with standard Danish PhD employment conditions. The stipend is open for appointment from 1 October 2026 or soon thereafter. The workplace will be in Aalborg or Copenhagen.

Deadline: 15 May 2026.

How to apply: Submit a motivation letter, project plan, CV with outputs and references, MSc diploma or expected-completion statement, master thesis, and exam list through Aalborg University’s online recruitment system.

Funding details

PhD stipend funded by the Technical Faculty of IT and Design of Aalborg University through the MASSIV-EO project. The position is full-time for normally 3 years and includes standard PhD employment terms in Denmark; no stipend amount is stated. The role includes access to in-house modelling, data processing, data assimilation expertise, software, and HPC infrastructure.

What's required

Applicants must hold a Master's degree equivalent to a Danish 2-year MSc, preferably in Geodesy, Remote Sensing, Civil Engineering, Physics, Applied Mathematics, or Computer Science/Engineering. Strong numerical modelling and programming skills are essential. Experience in at least two of the following is desirable: GNSS signal processing, AI and data science, and satellite geodetic and/or Earth Observation data processing. Good English skills (oral and written) are required, along with a strong interest in collaborative work and publishing/presenting research.

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Professors

Professor

University Name
Country flag

Denmark

Research Interests

Hydrology

Meteorology

Earth Observation

Data Assimilation

Civil Engineering