|Salary:||£31,502 to £33,348 Per annum Full Time|
|Placed On:||29th March 2023|
|Closes:||25th April 2023|
We are recruiting up to three research technicians in remote sensing to support research activities across a number of externally funded projects funded by the UK Research and Innovation and the European Space Agency. These are: (a) Fruit Sense: Leveraging Earth Observation (EO) data to Enhance Tree Crop production and their resilience in a changing climate in Australia, (b) UK Earth Observation Climate Information Service (EOCIS) which brings together UK expertise in Earth Observation to create and make available high quality, trustworthy climate information based on measurements of Earth’s environments from space and (c) EO4Cerealstress: Evaluate the synergistic use of multi-source Earth Observation (EO) and in-situ data to understand the effects of multiple stressors and their cumulative effects on crops.
Key research activities will focus on developing novel techniques to derive vegetation biophysical variables from airborne and satellite sensor and develop further application of such products. Current and upcoming satellite sensors and undertake research on validation of these variables. You will join the School of Geography and Environmental Science at the University of Southampton and work closely with members of Southampton Geospatial. We work with nations and agencies globally across disciplines to develop new geospatial tools and dataset to solve environmental and socioeconomic challenges. You will have access to state-of-the art spectroscopy laboratory and high performance computing facility to undertake your research.
The specific work to be undertaken involves:
You will have an undergraduate or Master’s degree in Geography, Remote Sensing, or related fields, with strong image processing skills, experience using standard remote sensing software (e.g. ENVI, SNAP), and previous experience analysing satellite data is essential for the role. Knowledge and experience in analysing Sentinel-2 and Sentinel-3 images and conducting fieldwork for collecting vegetation biophysical variables would be an advantage. You would expected to have a good knowledge of programming and experience of using cloud based data processing infrastructure.
Informal enquiries may be made to Professor Jadu Dash J.Dash@soton.ac.uk.
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The application deadline is midnight on the closing date stated above. If you need assistance, call Recruitment on +44 (0) 23 8059 2750, or email email@example.com. Quote reference 2239423WR on all correspondence.
We are committed to equality, diversity and inclusion and welcome applicants who supports our mission of inclusivity.
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