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University of Birmingham

Top university

PhD in Ionospheric Modeling for Resilient GNSS at the University of Birmingham University of Birmingham in United Kingdom

Degree Level

PhD

Field of study

Computer Science

Funding

PhD studentship is offered; the post indicates a funded PhD opportunity but does not specify stipend, tuition coverage, or exact funding terms.

Deadline

Expired

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Country

United Kingdom

University

University of Birmingham

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Keywords

Computer Science
Electrical Engineering
Mathematics
Computational Science
Earth Science
Data Assimilation
Space Weather
Gnss
Statistics
Physics

About this position

PhD Opportunity: Ionospheric Modeling for Resilient GNSS at the University of Birmingham

Prof. Sean Elvidge’s research group at the University of Birmingham is inviting applications for a PhD studentship focused on space weather physics, ionospheric modeling, and resilient Global Navigation Satellite Systems (GNSS). The project sits at the intersection of physics, geophysics, engineering infrastructure, and data-driven modeling.

GNSS technologies such as GPS and Galileo are essential for modern positioning, navigation, and timing (PNT), but their signals must pass through the ionosphere. During severe geomagnetic storms, the ionosphere can become highly disturbed, causing changes in Total Electron Content (TEC), scintillation, and Traveling Ionospheric Disturbances (TIDs) that degrade signal quality and reliability.

The successful PhD student will work on advanced methods to predict, nowcast, and mitigate these disruptions. Possible research directions include designing regional or global ionospheric corrections, developing uncertainty quantification methods for safety-critical users, and building data-driven frameworks using satellite datasets, data assimilation, statistical learning, and signal processing.

This opportunity is well suited to a quantitative applicant with a background in Physics, Geophysics, Mathematics, Data Science, or Engineering. Prior GNSS experience is helpful but not required. The group will provide training in scientific computing, ionospheric physics, and big data analytics.

To apply, candidates should first send an informal inquiry to the Principal Investigator, Prof. Sean Elvidge, at [email protected] before proceeding to the formal university application process.

No deadline was stated in the post.

Funding details

PhD studentship is offered; the post indicates a funded PhD opportunity but does not specify stipend, tuition coverage, or exact funding terms.

What's required

Applicants should hold a degree in Physics, Geophysics, Mathematics, Data Science, or Engineering. The project is best suited to a quantitative student with strong mathematical ability and curiosity. Prior GNSS experience is useful but not essential. Training will be provided in scientific computing, ionospheric physics, and big data analytics.

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Professors

Prof.

University Name
Country flag

United Kingdom

Research Interests

Geophysics

Meteorology

Magnetospheric Physics

Atmospheric Dynamics

Radio Wave Propagation