PhD, Master’s & Postdoc Opportunities in Remote Sensing in Turkey

The E-SEAL Lab in the Department of Biological Sciences at the National University of Singapore is recruiting PhD students, research assistants and postdoctoral researchers for two upcoming projects. The projects focus on ecosystem services modelling, land-use change modelling, crop modelling and the assessment of nature-related risks for businesses. The work brings together environmental science, environmental economics, business sustainability and global environmental change, with quantitative...

The University of Exeter is offering a fully funded PhD opportunity in Computer Science for a prospective student from China interested in machine learning, Earth observation and forests. The project, “Improving confidence in continuous forest type classification maps when ground truth data are scarce,” will investigate computational approaches for producing more reliable forest classification maps in situations where labelled ground-truth data are limited. The research brings together machine l...

PhD project in Arctic landscape change at the University of Gothenburg, led by Jakob Assmann in the Spatial Ecology & Arctic Change research area. The project will investigate how Arctic landscapes are changing by combining drone imagery, satellite imagery, machine learning and artificial intelligence. The research sits at the intersection of remote sensing, data science and Arctic environmental research, offering an opportunity to develop and apply computational approaches to the study of spati...

The LEGASYS Lab at Utah State University is recruiting motivated MS and PhD students for a UtahView-funded graduate research project on historical land-use and landscape changes across Utah. The project brings together remote sensing, Geographic Information Systems (GIS), and geospatial artificial intelligence (GeoAI) . Students will work with historical aerial photography and satellite imagery, applying geospatial programming and spatial analysis to investigate how landscapes have changed over ...

This post-doctoral project focuses on geomatics and hydromorphology , with an emphasis on improving methods to determine the bankfull level from LiDAR data collected from different sources, including IGN LiDAR HD and drone-acquired data . The researcher will also develop tools for QGIS and continue work on estimating bankfull width along river reaches, with results interpreted in relation to local anthropogenic constraints. The work builds on methods already developed within the Carhyce programm...

This postdoctoral position is based at the Laboratoire d'Optique Atmosphérique (LOA) of the University of Lille, within the “Nuages et Rayonnement” team, and is linked to CNRS-associated research activity on atmospheric optics. The project focuses on the optical properties of atmospheric microplastics , a recently identified and still poorly characterized component of atmospheric aerosols. The successful candidate will work on the characterization of these particles through experimental measurem...

This PhD project is part of TWIG, a five-year ERC Starting Grant focused on tropical forest biomass flows that are usually missed by conventional inventories. The work combines repeated terrestrial laser scanning with long-term forest monitoring to directly quantify damage, recovery, and biomass redistribution in mature tropical forests. The doctoral researcher will study the environmental and biological drivers of tree-level biomass changes and the ecological consequences of small-scale disturb...

This postdoctoral fellowship is hosted by the U.S. Department of Agriculture’s Agricultural Research Service (USDA-ARS) in Corvallis, Oregon, within the Horticultural Crop Production and Genetic Improvement Research Unit. The project centers on image-based soil health analysis, combining advanced sensing and imaging technologies to study how soil health management practices influence soil health metrics, crop yield, and crop quality. The fellow will work with a range of imaging systems, includin...

This EngD project at the University of Twente focuses on building AI methods for detecting underground infrastructure in ground penetrating radar (GPR) radargrams and estimating burial depth. The work builds on high-quality GPR data from the university’s Utility Mapping Site (UMS) , a dedicated test environment for utility mapping technologies. You will work on systematically collected and accurately annotated GPR datasets to develop and validate machine learning models that improve automated in...