Using InSAR to map and monitor deformation (17/26)

Company: NPA Satellite Mapping, CGG Services (UK) Ltd

Location: Edenbridge, Kent

Company Description:

CGG’s NPA Satellite Mapping group is a world-leading supplier of satellite images, multi-client products and bespoke mapping services. We provide remote sensing services to the oil and gas, mining, environmental and civil engineering industries – reducing risk and enhancing knowledge during the exploration, development and production of natural resources in offshore and onshore environments.

Project Description:

The project will be based within the InSAR team, which maps and monitors surface deformation using satellite radar measurements. The choice of project will partly depend on the interests and capabilities of the successful candidate, but likely possibilities include:

  • Develop new algorithms and code modules, using python and c/c++ python extensions. Module requirements would be developed jointly with staff, with the intern responsible for algorithm development, optimisation and testing.
  • Upgrade and extend a proprietary ArcGIS toolbox used to display and interpret InSAR data, adding new functionality to help clients understand and utilise their results. Produce examples and tutorials to demonstrate the new capabilities.
  • Optimise and validate different processing approaches using temporary InSAR scatterers, develop interpretation and visualisation capabilities, and demonstrate the benefits by producing case studies.

Student Specification:


  • A strong background in a scientific or other strongly-numerate discipline, including physics, engineering, geophysics, mathematics, computer science, earth sciences and similar fields

Depending on the project work undertaken, some of the following experience and skills would also be desirable:

  • Some familiarity with SAR and/or InSAR methods and processing techniques
  • Programming – particularly python, c/c++ and python c extensions, and/or net and C#
  • ArcGIS, particularly arcobjects
  • Signal processing and/or statistics, for example uncertainty estimation, error propagation, noise reduction, time series analysis
  • Algorithm development

The Nitty Gritty:

8 weeks fixed contract to start after induction on 26 June, and finish by early Sept. Some flexibility on dates within that period if needed, to be discussed with successful candidate. Fixed bursary of £2,200 available, plus travel costs to induction. However, if financial issues would present a barrier to taking up the internship, please discuss this with us, in confidence, and it may be possible to offer further limited assistance in kind.

Closing Date for Applications: This role is now closed.

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