Earth Observation Scientist
PML is looking for a dynamic, mathematically-inclined remote-sensing scientist who will work on developing, testing and implementing novel algorithms for using satellite data to study pools and fluxes of carbon in the ocean. The post-holder will also interface with ecosystem modellers to compare satellite products with model outputs. The scientist will be working on a major international project dedicated to the study of biogeochemical cycles in the ocean, in the context of climate change. The scientist will work in a team led by Shubha Sathyendranath and Trevor Platt.
The key deliverables from the project are time series of carbon products from satellite data, which would use the product suite from ESA’s Ocean Colour Climate Change Initiative as inputs. Though the work is seen primarily as development of novel applications of ocean-colour data, it is anticipated that the work would require incorporation of other types of satellite data, model outputs, and large-scale in situ databases. The new products will be validated against in situ data and uncertainty characteristics have to be established for each product. The products will be tailored to meet user requirements, and will form part of a database on ocean biogeochemical pools and cycles, incorporating satellite and in situ data, as well as model outputs.
Experience & Eligibility Requirements
PhD in oceanography, or allied fields (mathematics, physics, biology or chemistry). Strong publication record in international journals. Ability to work individually or in a team, as required. Self-motivated, with excellent skills in communication, especially in scientific writing. Numerical, mathematical and computing skills are essential. Experience with satellite-data processing is desirable. Appointment at the Senior Scientist grade would be dependent upon experience and publication record.
Closing date: 1700hrs Friday 15th December 2017
Interviews will take place on 18th January 2018