✦ AI Summary
The Simon Fraser University Scholarship 2026 is an excellent opportunity for international students seeking fully funded Master’s or PhD study in Canada.
The Simon Fraser University Scholarship 2026 is an excellent opportunity for international students seeking fully funded Master’s or PhD study in Canada. Applications are invited by the Synthetic Aperture Radar Laboratory at Simon Fraser University for highly motivated candidates interested in advanced research in remote sensing and SAR technologies.
The research laboratory is led by Professor Bernhard Rabus and focuses on innovative SAR methods and applications, particularly in maritime monitoring and advanced land based analysis using interferometric and polarimetric time series techniques.
Simon Fraser University is widely recognized as one of Canada’s leading research intensive universities, known for innovation, strong graduate outcomes, and academic excellence across science and engineering disciplines.
Overview of the Simon Fraser University Scholarship 2026
- Scholarship Type: Master’s and PhD Scholarships
- Country of Study: Canada
- University: Simon Fraser University
- Eligible Countries: All countries
- Funding Value: Up to 30,000 CAD per year
- Application Deadline: Not specified
Financial Support
- Four year fully funded Research Assistantship
- Annual funding starting from approximately 20,000 CAD for MSc and 24,000 CAD for PhD candidates
- Incremental increases up to 25,000 CAD for MSc and 30,000 CAD for PhD based on research progress and publications
- Additional funding of 13,000 CAD per year or more through Graduate Fellowships or Teaching Assistantships, typically sufficient to cover tuition fees
How to Apply
Interested candidates for the Simon Fraser University Scholarship 2026 should send an email inquiry directly to Professor Bernhard Rabus.
Application Instructions
Applicants must email the following documents:
- Curriculum Vitae
- Academic transcript
- Cover letter outlining research interests and motivation
Applications should be sent to Professor Bernhard Rabus via email at [sign up to view]. Only shortlisted candidates will be contacted for further steps.
The Simon Fraser University Scholarship 2026 offers a rare opportunity to pursue cutting edge research in Canada with full financial support, world class facilities, and strong academic mentorship. Candidates with a passion for remote sensing research are strongly encouraged to apply.
Key Responsibilities
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- Successful applicants under the Simon Fraser University Scholarship 2026 will work in research areas that include:
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- Synthetic Aperture Radar methods and applications
- Maritime monitoring and analysis
- Advanced land applications using interferometric techniques
- Polarimetric SAR time series analysis
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Requirements
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- Applicants must meet the following requirements to be considered:
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- Strong interest and background in remote sensing research
- Bachelor’s degree in Physics, Geophysics, Engineering, or a closely related field
- Solid programming skills including C++ and Python
- Strong scientific writing ability with motivation to produce publishable research
- Excellent command of English, both written and spoken
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- Applicants must meet one of the following English proficiency standards unless exempted:
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- Internet based TOEFL score of 93 with a minimum of 20 in each section
- Paper based TOEFL score of 580 with TWE score of 5
- IELTS Academic overall score of 7.0 with a minimum of 6.5 in each section
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- Applicants from English speaking countries or those with an English education background may be exempt from these tests.
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What We Offer
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- The Simon Fraser University Scholarship 2026 provides extensive academic and financial support to successful candidates.
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- Access to advanced research facilities and top tier equipment
- Free access to RADARSAT 2 satellite data and other exclusive remote sensing datasets
- Use of high performance GPU servers and an airborne SAR sensor
- High level research independence and collaboration opportunities across SFU and partner institutions
- Dedicated mentoring and supervision from experienced researchers
- Optional project based collaboration with MDA with potential future career opportunities
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