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Israel Leyva-Mayorga

5 months ago

PhD in AI-based Satellite Communications and Weather Prediction at Aalborg University Aalborg University in Denmark

Degree Level

PhD, Postdoc

Field of study

Computer Science

Funding

PhD stipend position at Aalborg University for 3 years, full-time. Salary and terms follow the Danish AC collective agreement. The post is a stipend rather than a self-funded study, but no stipend amount is stated.

Deadline

Expired

Country flag

Country

Denmark

University

Aalborg University

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Keywords

Computer Science
Data Science
Machine Learning
Signal Processing
Electrical Engineering
Remote Sensing
Geography
Artificial Intelligence
Earth Science
Satellite Communication
Geodesy
Gnss
Statistics
Physics

About this position

PhD stipend at Aalborg University in the AI:GeoComm Lab for AI-based satellite communications and weather prediction. The project sits within the university’s AI:X initiative and is hosted at the Technical Faculty of IT & Design, in collaboration between the Department of Electronic Systems and the Department of Sustainability and Planning.

The research is highly interdisciplinary and combines computer science, earth science, electrical engineering, statistics, and physics. The PhD will focus on developing AI models that integrate real-time satellite communication signals, GNSS-based atmospheric observations, and numerical weather prediction outputs. Topics include data fusion, feature extraction, baseline machine learning methods such as gradient boosting, deep learning architectures, and benchmark comparisons with operational meteorological models. The work is closely connected to geodesy, atmospheric science, remote sensing, and telecommunications.

The position is based in the Geodesy Group, which works on satellite-based Earth observation and atmospheric modelling. The group provides access to in-house satellite, GNSS, and atmospheric products, making it a strong environment for research on weather forecasting and communication-system reliability, especially for Denmark and Greenland.

Eligibility: applicants must hold a Master’s degree. Candidates with strong backgrounds in either AI/data science or GNSS-based atmospheric sensing, microwave remote sensing, atmospheric sciences, or geophysics are encouraged to apply. The project expects willingness to build complementary skills in numerical modelling, AI/ML, and scientific programming (Python, TensorFlow, scikit-learn).

Funding and duration: the position is a 3-year PhD stipend, full-time, with salary and terms according to the Danish AC collective agreement. The post includes standard PhD obligations such as coursework (30 ECTS), teaching or knowledge dissemination, and an external research stay abroad, preferably 3–6 months.

Deadline: 2026-05-26. The stipend is available from 15 August 2026 or soon thereafter.

How to apply: submit an application with a motivation letter, CV, bachelor’s and master’s diplomas with grades, a two-page project description, and other relevant documents. Apply through Aalborg University’s recruitment system via the job advertisement.

Funding details

PhD stipend position at Aalborg University for 3 years, full-time. Salary and terms follow the Danish AC collective agreement. The post is a stipend rather than a self-funded study, but no stipend amount is stated.

What's required

Applicants must hold a Master's degree. A strong background in AI and domain knowledge is highly desirable, but candidates with strong backgrounds in either AI/data science or GNSS-based atmospheric sensing, microwave remote sensing, atmospheric sciences, or geophysics are encouraged to apply. Applicants should be motivated to develop complementary skills in numerical modelling, AI and machine learning methods, and scientific programming such as Python, TensorFlow, and scikit-learn. The PhD requires enrollment at the Technical Doctoral School of IT and Design, completion of 30 ECTS PhD courses, teaching or knowledge dissemination experience, and an external research stay outside Aalborg University, preferably 3-6 months.

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Professors

Associate Professor and Director of Space Tech Center

University Name
Country flag

Denmark

Research Interests

Internet Of Things

Artificial Intelligence

Satellite Communication

Computer Science

Electrical Engineering