Sort by
Refine Your Search
-
Listed
-
Country
-
Employer
- University of Vienna
- Cranfield University
- University of Alabama, Tuscaloosa
- CRANFIELD UNIVERSITY
- American University
- Curtin University
- Duke University
- NTNU Norwegian University of Science and Technology
- Nanyang Technological University
- National University of Singapore
- Northeastern University
- RUĐER BOŠKOVIĆ INSTITUTE
- SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)
- The University of Alabama
- Universidade de Coimbra
- University of California
- University of California Davis
- University of Connecticut
- University of Michigan
- University of Minnesota
- University of Texas at Austin
- 11 more »
- « less
-
Field
-
of Engineering and Applied Sciences Environmental Sustainability Research Fellow in Environmental Sensors Fixed Term Contract until 31 October 2027 Full time starting salary (if PhD close to completion) is
-
October 2027 Salary: Full time starting salary (if PhD close to completion) is normally in the range of £34,450 per annum; Full time starting salary (if PhD obtained) is normally in the range of £37,337 per
-
project deliverables are met. Any other ad-hoc duties assigned by Supervisor. Job Requirements PhD in Geography, GIS, Remote Sensing, Environmental Science, Earth Science, or related disciplines. Strong
-
. Therefore, we would encourage you to complete and submit your application as soon as possible. Where to apply Website https://jobs.cranfield.ac.uk/vacancy/research-fellow-in-remote-sensing-in-tea-a
-
, policy, or academia. Contribute to a collaborative, inclusive, and equity-focused research environment. Perform related duties as required. MINIMUM QUALIFICATIONS PhD, EdD, MD, or equivalent doctoral
-
Collaborate in the use of remote sensing and machine learning methods to detect A. longifolia and to monitor the spread and effects of the biological control agent (occasional collaboration). Activity 4
-
background in physics and mathematics with a good grounding in geophysics, remote sensing and data analysis. Candidates must have a Master’s degree in geophysics, signal processing or physics, and a PhD in
-
the WRF and/or ICON numerical models and with satellite or remote-sensing data (e.g., vegetation indices); (ii) with knowledge of land-surface modelling and model-coupling strategies; (iii) with a
-
for – Selection Criteria: Essential: A PhD in remote sensing, geoinformatics, computer vision, or a related discipline. Demonstrated expertise in hyperspectral remote sensing, including pre-processing (e.g
-
, geochemistry, acoustic remote sensing, plankton dynamics, sedimentology and paleoclimatology. Pay and Benefits Pay Range: $58,685 - $62,629 annual; depending on education/qualifications/experience. Retirement