Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- Zintellect
- University of Nottingham
- Curtin University
- FCiências.ID
- RMIT UNIVERSITY
- George Mason University
- Hong Kong Polytechnic University
- MOHAMMED VI POLYTECHNIC UNIVERSITY
- RMIT University
- University of Bergen
- ;
- Auburn University
- Dalhousie University
- Monash University
- Montana State University
- Nanyang Technological University
- National University of Singapore
- Oak Ridge National Laboratory
- The University of Queensland
- Tohoku University
- University of Cambridge
- University of Gothenburg
- University of Notre Dame
- University of Saskatchewan
- University of Sydney
- 15 more »
- « less
-
Field
-
Fellow in Remote Sensing and Geospatial Intelligence There is a vacancy for a PhD Research Fellow in remote sensing and geospatial intelligence at the Department of Earth Science and the Bjerknes Centre
-
1st October 2025 Languages English English Norsk Nynorsk English PhD Research Fellow in Remote Sensing and Geospatial Intelligence Apply for this job See advertisement UiB - Knowledge that shapes
-
Type: On Site Required Salary: Salary commensurate with education and experience Restricted: Yes Criminal Background Check: Yes About the Department: The Center for Geospatial Intelligence (CGEOINT
-
Posting Details Position Information Job Title Postdoctoral Fellow - Geospatial Investigations of Water and Wastewater Infrastructure Posting Number P1896F Position Summary Information Job
-
for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools (e.g., PyTorch/TensorFlow, rasterio/GDAL). Ability to work independently and produce reproducible
-
within the scope of Own funding for the development of R&D projects of FCiências.ID, under the following conditions: Scientific Area: Geospatial Engineering Admission requirements: Degree in Geospatial
-
Environmental Science, Physics, Mathematical Sciences, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver
-
of research outcomes to end users, including potential commercialisation of UQ intellectual property. Review and apply best-practice research methodologies in geospatial data science and climatology
-
, Geospatial Sciences and Computer Science (Information Technology and Software Engineering). One of RMIT's top-performing research schools, we deliver research that addresses the 'real life questions' essential
-
related field. Strong track record in remote-sensing imagery and/or time-series analysis and ML/DL for spatio-temporal data. Advanced Python skills and experience with ML frameworks and geospatial tools