Publisher
source

Sara Sadri

4 months ago

PhD Opening in Environmental Data Science, AI, Remote Sensing and Geospatial Analytics University of Prince Edward Island in Canada

Degree Level

PhD

Field of study

Computer Science

Funding

Available

Deadline

Expired

Country flag

Country

Canada

University

University of Prince Edward Island

Suggested positions

Publisher
source

Song Shu

University of Kansas

Country flag

United States

PhD opportunity in Remote Sensing & Hydrology at Kansas State University Associate Professor Song Shu at Kansas State University is recruiting 1–2 highly motivated PhD students to join the School of Earth & Environment, with a planned start in Fall 2027. The research group works on surface water hydrology, water resources, and water storage dynamics using satellite and UAV/drone remote sensing, GIS, AI, and advanced computational methods. Potential topics include lake and river hydrology, water-...

Computer Science
Environmental Science
Remote Sensing
+8 more

1 month ago

Publisher
source

University of Manitoba

Country flag

Canada

The CORE AI Lab in the Department of Computer Science at the University of Manitoba is seeking a motivated PhD student to join their research team. The primary research focus is on Generative AI, a cutting-edge area within artificial intelligence and machine learning. This opportunity is ideal for candidates with strong programming skills, a solid background in mathematics and statistics, and a deep understanding of machine learning concepts. Applicants are expected to demonstrate proficiency in...

Computer Science
Machine Learning
Mathematics
+2 more

9 months ago

Publisher
source

University of Manitoba

Country flag

Canada

The CORE AI Lab in the Department of Computer Science at the University of Manitoba is seeking a motivated PhD student to join their research team. The primary research focus will be on Generative AI, a cutting-edge area within artificial intelligence and machine learning. The ideal candidate should possess strong programming skills, a solid background in mathematics and statistics, and a deep understanding of machine learning concepts. This opportunity is ideal for students interested in advanc...

Computer Science
Machine Learning
Mathematics
+2 more

9 months ago

Publisher
source

University of Virginia

Country flag

United States

Kostas Andreadis, Associate Professor, is sharing a new research direction at the University of Virginia in the Department of Environmental Sciences . He will join UVA in Fall 2027 as the Commonwealth Associate Professor of AI and Environmental Sciences . The group will work at the intersection of AI and computational hydrology , using satellite observations and machine learning to understand and predict how water moves through the Earth system. Research directions mentioned include scientific m...

Computer Science
Environmental Science
Remote Sensing
+7 more

1 week ago

Publisher
source

École Polytechnique Fédérale de Lausanne

Country flag

Switzerland

EPFL (École Polytechnique Fédérale de Lausanne) is recruiting a Postdoctoral Researcher in Urban Verticality and Geospatial Digital Observatory within the CEAT research unit. This position is part of Vertical Africa (VERTICAF) , an interdisciplinary project funded by the Swiss National Science Foundation (SNSF) . The postdoctoral researcher will work on urban verticality , Earth Observation , environmental modelling , geospatial data science , and remote sensing , with a strong focus on measurin...

Computer Science
Environmental Science
Remote Sensing
+7 more

5 days ago

Keywords

Computer Science
Machine Learning
Environmental Science
Remote Sensing
Mathematics
Geography
Hydrology
Artificial Intelligence
Civil Engineering
Spatial Analysis
Earth Science
Earth Observation
Ecological Modeling
Statistics

About this position

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.

Funding details

Available

What's required

Applicants should have an MSc in Computer Science, Civil Engineering, Environmental Engineering, Agricultural Engineering, Hydrology, Geography, Remote Sensing, Mathematics, or a closely related quantitative discipline. Strong programming skills in R and/or Python are required, along with experience in statistical modelling, machine learning, geospatial analytics, or large-scale environmental datasets. Familiarity with remote sensing, GIS, Earth observation, environmental modelling, or quantitative analysis is preferred. Candidates should demonstrate strong quantitative, analytical, and problem-solving skills, research experience, scientific writing ability, and the ability to work independently while contributing to collaborative projects. Preference is given to candidates with experience in quantitative modelling, machine learning, geospatial analysis, remote sensing, or environmental data science, especially those based in Canada, the United States, or Europe.

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts and confirm requirements with the university.

Professors

Associate Professor

University Name
Country flag

Canada

Research Interests

Statistics

Artificial Intelligence

Computer Science

Earth Science

Machine Learning