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David Clausi

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Postdoctoral Scholar Opportunity in Remote Sensing and Machine Learning at the University of Waterloo University of Waterloo in Canada

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available
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Country

Canada

University

University of Waterloo

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Keywords

Computer Science
Electrical Engineering
Deep Learning
Remote Sensing
Geography
Spatial Analysis
Computer Vision
Earth Science
Earth Observation
Cryosphere Science
Synthetic Aperture Radar
Machine learning

About this position

Postdoctoral Scholar Opportunity in Remote Sensing and Machine Learning at the University of Waterloo.

The Vision and Image Processing Group is seeking an outstanding postdoctoral scholar to join a research team working at the intersection of remote sensing, machine learning, computer vision, Earth observation, and geospatial analytics. The role has a strong emphasis on cryosphere applications and synthetic aperture radar (SAR), with opportunities to contribute to large-scale research in one of Canada’s largest computer vision and image analysis groups.

Research focus: Earth observation data analysis, deep learning for remote sensing, multi-sensor geospatial data processing, SAR, and cryosphere topics such as sea ice, snow, and glaciers.

Eligibility highlights: Applicants must already hold a PhD in Remote Sensing, Electrical Engineering, Computer Engineering, Systems Design Engineering, Computer Science, or a closely related field. The PhD must have been awarded within the last four years. A strong publication record and demonstrated independent research experience are required, along with the ability to mentor and supervise students.

Preferred background: Experience in SAR, cryosphere research, deep learning, multi-sensor Earth observation, and large-scale geospatial analytics will strengthen the application.

Application materials: CV and a letter of interest describing research experience, publication record, technical expertise, and research interests.

How to apply: Email the materials to [email protected]. Review begins immediately and continues until the position is filled.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

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