UNIVERSITY OF SOUTHAMPTON

Research Technician in Remote Sensing

Location
Southampton, United Kingdom
Salary
£25,217 per annum
Posted
Apr 08, 2021
End of advertisement period
Apr 23, 2021
Ref
1355321WR
Academic Discipline
Social Sciences, Geography
Contract Type
Fixed Term
Hours
Full Time

Environmental Change & Sustainability

Location: Highfield Campus
Salary: £25,217 per annum
Full Time Fixed Term for 18 months
Closing Date: Friday 23 April 2021
Interview Date: To be confirmed
Reference: 1355321WR

A Research Technician with satellite, unmanned aerial vehicle (UAV), and ground data analysis skills is required to assist with work related to European Space Agency Dragon 5 project ‘UAVs for Validation’ and Sentinel 3 Mission performance centre.

The specific work to be undertaken involves:

  • Analysing high spatial resolution satellite and UAV datasets, including pre-processing, retrieval of vegetation biophysical variables, and investigating the accuracy of generated datasets through comparison with ground measurements. 
  • Developing methods to exploit the generated UAV and high spatial resolution satellite datasets for validation of moderate spatial resolution satellite products.
  • Participating in field data collection campaigns organised within the project.
  • Contributing to the writing of project documentation.
  • Managing the database of measurements collected through project field campaigns to ensure they are standardised and up to date.

This is a full time fixed term post for 18 months and the successful applicant must have a skill level equivalent to achievement of HNC, A-Level, NVQ3. An undergraduate or Master’s degree in Geography, Remote Sensing, or related fields is desirable, along 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, pre-processing UAV data, and conducting fieldwork for collecting vegetation biophysical variables would be an advantage. Good scientific programming abilities (e.g. Python, Matlab, IDL, or R) is desirable.

The post is tenable from 01 June 2021.

Informal enquiries may be made to Professor Jadu Dash J.Dash@soton.ac.uk.

Application procedure:

You should submit your completed online application form at www.jobs.soton.ac.uk. If you require any assistance, please contact Hannah Farrance on +44 (0) 23 8059 6803. Please quote reference 1355321WR on all correspondence.