Sara Sadri

Fully Funded Postdoctoral Position in Climate, Water & Data-Driven Agriculture at the University of Prince Edward Island , Canada. This opportunity is in the research program of Sara Sadri , Canada Research Chair in Remote Sensing and Water Security and Associate Professor. The project addresses drought impacts on food systems, water resources, and rural economies through data-driven, real-time approaches for climate-resilient agricultural decision-making. The postdoctoral researcher will work on hydroclimatic analysis , machine learning , statistical modeling , satellite Earth observation , remote sensing , and geospatial/environmental data . The role also includes developing predictive tools and decision-support systems, contributing to publications, and helping expand the broader research program through proposals and funding applications. Eligibility highlights: applicants must hold a PhD in hydrology, climate science, environmental engineering, geospatial/data science, or a related field. Strong programming skills, especially Python, are expected, along with experience in remote sensing, environmental modeling, or data-driven analysis. Candidates must be based outside Canada at the time of nomination and willing to relocate to Canada for at least one year. The award is open to all nationalities, including Canadian citizens currently abroad. Funding: $70,000 CAD/year for two years plus benefits. The award is already secured. Application: interested candidates should email their CV and a brief statement of interest to [email protected]. Shortlisted applicants will be asked to provide references. Timeline indicates nomination is required by late May.

The HydroTerra Lab at the University of Prince Edward Island is seeking a highly motivated PhD student in Environmental Data Science . Led by Dr. Sara Sadri (Canada Research Chair in Remote Sensing and Water Security; Associate Professor), the project sits at the intersection of artificial intelligence , Earth observation , geospatial analytics , remote sensing , and environmental science . The successful candidate will work with large-scale environmental, geospatial, and satellite datasets to develop and apply advanced analytical approaches. The role is especially suitable for applicants interested in machine learning , quantitative modelling , GIS , and data-driven solutions to real-world environmental challenges. Eligible backgrounds include an MSc in Computer Science , Civil Engineering , Environmental Engineering , Agricultural Engineering , Hydrology , Geography , Remote Sensing , Mathematics , or a closely related quantitative field. Applicants should have strong programming skills in R and/or Python , experience with statistical modelling, machine learning, geospatial analytics, or large-scale environmental datasets, and familiarity with remote sensing, GIS, Earth observation, environmental modelling, or quantitative analysis. Strong research experience and scientific writing ability are also expected. Interested candidates should email a CV, transcripts, a brief statement of research interests, and two references to [email protected] with the subject line PhD Opportunity Inquiry – Environmental Data Science . Selected candidates will be invited to apply through the University of Prince Edward Island's official graduate admissions process. Applications are reviewed on a rolling basis until the position is filled.

HydroTerra Lab at the University of Prince Edward Island is advertising a fully funded PhD opportunity led by Dr. Sara Sadri , Canada Research Chair in Remote Sensing and Water Security and Associate Professor. The project sits at the intersection of computer science , artificial intelligence , software development , data science , and food security , with a strong emphasis on building digital technologies and analytical tools for real-world societal and environmental challenges. The ideal applicant should hold an MSc in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Information Systems, Statistics, Mathematics, or a closely related quantitative field. Strong Python programming and modern software development skills are expected, along with experience in machine learning, databases, cloud computing, web technologies, or data analytics. The post also values research experience, scientific writing, independent work, and the ability to contribute to collaborative projects. Preference is given to candidates with demonstrated experience in software development, machine learning, data science, or digital platforms, especially those currently based in Canada , the United States , or Europe . The selected student will collaborate with researchers, government agencies, and external partners and contribute to peer-reviewed publications and innovative technologies. To apply, interested candidates should email a CV, academic transcripts, a brief statement of research interests, and contact information for two references to [email protected] . Use the subject line PhD Opportunity Inquiry – AI & Food Security . Applications are reviewed on a rolling basis until the position is filled, and shortlisted candidates will be invited to complete the official graduate admissions process at UPEI.