Publisher
source

McGill University

Top university

Climate change research McGill University in Canada

Degree Level

Master's, PhD

Field of study

Environmental Science

Funding

Fully funded MSc and PhD positions with tuition and living expenses covered. Opportunity to work with leading experts in remote sensing and climate research, and access to McGill’s state-of-the-art facilities and international collaborations.

Deadline

Dec 28, 2026

Country flag

Country

Canada

University

McGill University

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Keywords

Environmental Science
Remote Sensing
Climate Science
Earth Science
Climate Dynamics
Synthetic Aperture Radar
Sea Ice

About this position

McGill University is offering fully funded MSc and PhD positions for the Fall 2026 intake, focusing on climate change research, remote sensing, and environmental science. Successful candidates will join a world-class research team working on sea ice monitoring using satellite-based SAR imagery (NISAR and RCM), advanced data analysis, and developing new methods for climate science applications. Applicants should have a strong background in SAR data analysis, proficiency in programming languages (Python, MATLAB, or R), and excellent academic records in Earth Sciences, Remote Sensing, Climate Studies, Environmental Engineering, or related fields.

Canadian students are preferred for the MSc position. Funding covers tuition and living expenses, and students will benefit from McGill’s facilities and international collaborations. To apply, candidates should email their CV, transcript, and a statement of interest to Dr. Mallik Mahmud.

The application deadline is as early as possible for Fall 2026 consideration. This opportunity is ideal for those passionate about climate change and seeking to make an impact through research at a top Canadian university.

Funding details

Fully funded MSc and PhD positions with tuition and living expenses covered. Opportunity to work with leading experts in remote sensing and climate research, and access to McGill’s state-of-the-art facilities and international collaborations.

What's required

Applicants should have a strong background in SAR data analysis, proficiency in programming languages such as Python, MATLAB, or R, and excellent academic records in Earth Sciences, Remote Sensing, Climate Studies, Environmental Engineering, or related fields. Canadian students will be given preference for the MSc position.

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