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Moulay Ismail University

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3 PhD Opportunities in Astronomy, Radio Astronomy, and Space Weather at Sultan Moulay Slimane University Sultan Moulay Slimane University in Morocco

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Sep 15, 2026

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Country

Morocco

University

Moulay Ismail University

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Keywords

Computer Science
Data Science
Electrical Engineering
Astronomy
Astrophysics
Computational Science
Earth Science
Radio Astronomy
Space Weather
Gnss
Statistics
Physics
ML

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About this position

📡 Sultan Moulay Slimane University, through the Laboratory for Research in Advanced Sciences and Technologies (LRSTA) at the National School of Applied Sciences of Beni Mellal, is advertising 3 PhD opportunities for the 2026/2027 academic year.

The topics sit at the intersection of astronomy, radio astronomy, space weather, ionosphere, GNSS, machine learning, data science, and scientific infrastructure. The three projects are: (1) radio astronomy and instrumentation, including site characterization and the possible relocation of the Sunyaev–Zel’dovich Array to Morocco; (2) probabilistic and explainable forecasting of ionospheric disturbances using GNSS, solar, and geomagnetic data; and (3) an intelligent interoperable platform for ingestion, qualification, traceability, and analysis of astronomical and atmospheric data.

Applicants should have a strong background in physics, astrophysics, space science, telecommunications, electronics/instrumentation, scientific computing, data science, or a related field. Strong Python and scientific data analysis skills are highlighted, and experience in signal processing, machine learning, GNSS, radio-frequency systems, instrumentation, or scientific data systems will be an advantage.

The post states that applications are now open, with a deadline of 15 September 2026. The work location is Beni Mellal, Morocco. Interested candidates should use the application platform and review the linked research areas and PhD topics before applying.

Funding details

Available

What's required

Candidates should have a background in physics, astrophysics, space science, telecommunications, electronics/instrumentation, scientific computing, data science, or a related discipline. Strong motivation for research is required, and strong Python and scientific data analysis skills are an important asset. Depending on the topic, experience in signal processing, machine learning, GNSS, radio-frequency systems, instrumentation, or scientific data systems is particularly valuable.

How to apply

Apply through the application platform provided in the post. Review the available research areas and PhD topics, then submit your application before the deadline of 15 September 2026.

More information can be found here

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