|NPA Satellite Mapping, InSAR Surveying|
|Reports to (N+1)
|InSAR Surveying Manager|
CGG (http://www.cgg.com/) is a fully integrated Geoscience company providing leading geological, geophysical and reservoir capabilities to its broad base of customers primarily from the global oil and gas industry.
Through its three complementary business divisions of Equipment, Acquisition and Geology, Geophysics & Reservoir (GGR), CGG brings value across all aspects of natural resource exploration and exploitation.
CGG employs over 5,500 people around the world, all with a Passion for Geoscience and working together to deliver the best solutions to its customers.
CGG’s consulting services offer comprehensive geoscience knowledge and provide our clients with valuable insight into all aspects of natural resource exploration and development, from basin prospectivity to reservoir modeling and economic analysis.
CGG’s NPA Satellite Mapping division provide world leading remote sensing and digital cartographic information.
We offer our clients comprehensive services from satellite data acquisition and image processing, through interpretation and validation, to production of derived maps and reports.
Reporting to the InSAR Surveying Manager the InSAR scientist will be responsible for the end-to-end management and coordination of commercial projects (from enquiry, through to production and delivery), ensuring they work to established procedures and quality standards. They will contribute and/or lead aspects of internal InSAR research and development (R&D) initiatives (e.g. algorithm development) to ensure the team functions at a high technical level and maintains its world-leader status in ground deformation mapping. Furthermore, the employee will assist with publishing results of their work through research journals, articles, internal conferences and client seminars. On joining NPA the employee will embark on an intensive, hands-on training programme that will aim to develop them to a high level of proficiency as soon as possible.
From a technical perspective the employee will be involved in mastering the use of GAMMA InSAR software and NPA’s proprietary processing developments and workflows to ensure that commercial projects and R&D initiatives are delivered on time and to the highest possible quality, whilst also ensuring that the team remains at the cutting-edge of InSAR science.
Day-to-day responsibilities will include responding to internal/external emails, liaising with clients, contributing to team discussions and meetings, data processing, iterative processing refinement and troubleshooting, reporting, deliverables creation and quality checking, and R&D activities that form a crucial part of our culture of innovation. As part of our innovation activities, the employee will be expected to lead or contribute to publicly funded research initiatives such as those sponsored by ESA.
There will be a requirement to author peer-reviewed research papers and commercial articles, represent the company at technical conferences, develop and lead client workshops/seminars, and support the production and delivery InSAR multi-client products.
The successful delivery of our commercial projects is at the heart of the team’s success. Many of our projects are long-term monitoring studies that require excellent communication with our clients, attention to detail and a consistent quality of deliverables. We are a team that operate internationally, as such the individual will be expected to communicate efficiently and in an appropriate manner to clients from different countries and cultural backgrounds. Where necessary the individual will be expected to travel to help secure and manage projects, provide training and present our work at international conferences.
Required Education and Experience:
The successful candidate will be educated to BSc level (or equivalent) or higher qualification in SAR, InSAR, geodesy, remote sensing, physics or mathematics or a subject similarly applied and numerate.
A PhD or MSc involving inSAR or equivalent commercial experience would be desirable with experience processing in GAMMA software.
Experience working in Python, C, GDAL and or SQL and similar would be an advantage. Algorithm development and signal / image processing experience would also be beneficial.
A number of other desired skills include, experience using ArcGIS, QGIS (or equivalent), time series analysis, geophysical modelling, development experience with Arcobjects, arcpy etc and some experience of complementary surveying methods such as terrestrial radar, GPS, levelling, near-surface geophysics.
|Created by||Job Title|
|Natasha Maynard||Recruitment Advisor|