Sort by
Refine Your Search
-
Country
-
Employer
- Nanyang Technological University
- National University of Singapore
- University of Bergen
- University of Idaho
- University of Oslo
- University of Sydney
- Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa
- Montana State University
- NTNU - Norwegian University of Science and Technology
- QUEENS UNIVERSITY BELFAST
- Queen's University Belfast
- UNIVERSITY OF SOUTHAMPTON
- UNIVERSITY OF SYDNEY
- University of Southampton;
- University of Texas at Austin
- 5 more »
- « less
-
Field
-
2nd October 2026 Languages English English Norsk Nynorsk English PhD Research Fellow in Remote Sensing and modelling of alpine vegetation change Apply for this job See advertisement UiB - Knowledge
-
to sedimentological and biogeochemical investigations contribute to modelling sedimentary copper systems and Earth surface processes analyse and interpret large-scale geospatial and geochemical datasets publish high
-
Instituto de Geografia e Ordenamento do Território da Universidade de Lisboa | Portugal | 7 days ago
. The successful candidate will support research activities related to Geographic Information Systems (GIS), spatial statistics, accessibility modelling, territorial typologies, dashboard development, and scientific
-
focus on collecting, processing, and harmonising appropriate geospatial data, providing geospatial data insights, and applying appropriate AI models for geospatial analysis based on the integrated data
-
insights, and applying appropriate AI models for geospatial analysis based on the integrated data. This role is part of the project: Decision-support-tools for Spatial Planning and Cumulative Effects
-
and quantitative models. Documented capabilities in programming like Python, R, SQL, or Julia. Proficient in Excel and PowerPoint. Preferred Qualifications Geospatial modeling and analysis is a
-
inventory data with geospatial datasets for biomass or carbon modelling. Managing or synthesising large ecological or geospatial datasets. Conducting or organising field surveys (e.g., forest inventory
-
learning-based model predictive control (MPC) algorithms for multi-agent multirotor drone navigation around vessels in maritime environments. The role will focus on integrating multirotor crash predictions
-
contribute to advancing research in Earth system modeling and to improve understanding of interactions among land, water, carbon, energy, atmosphere, ecosystems, and human systems. This is a one-year
-
leading researchers while contributing to high-impact scientific publications and policy-relevant research. Job Requirements: PhD in Ecology, Environmental Science, Geography, Geospatial Science, Remote