The appointment will be on UCL Grade 7. The salary range will be £31,604 - £38,833 per annum, exclusive of London Allowance.
UCL/MSSL has a vacancy for a post-doctoral research scientist funded by the JRC through a contract managed by ACRI-ST to join Prof. Jan-Peter Muller's Imaging Group. Prof. Muller's Imaging group is engaged in developing, processing and validating climate quality global datasets (including BRDF/albedo, wind and cloud properties), primarily from EO sensors, for inter-comparison with other planets, such as Mars and in the analysis of Sun-planetary connections to planetary climate.
This post is mainly concerned with validating satellite-derived products (in particular, surface reflectance, BRDF, albedo) using ground-based tower measurements taking surface heterogeneity into account. This requires in the first instance a thorough understanding of remote sensing physics for the derivation of these products both from satellite and in situ measurements. Then, developing a suitable strategy for quality control and assurance including converting and filtering the data for an appropriate inter-product comparison and validation. This will also include assessing upscaling properties from the in situ measurements and deriving sub-canopy spectral BRF of soil from tower-based hyperspectral observations, from processed airborne orthorectified hyperspectral BRFs and from EO very high resolution multispectral measurements from the next generation < 1m sensors.
In addition, the applicant would be expected to collaborate with other members of the Imaging group working on machine vision applications to EO and planetary datasets.
MSSL is a multi-disciplinary laboratory, with a long track record in the design, build,operation and exploitation of EO, space and astrophysics instrumentation. MSSL was selected by ESA to develop the CRYOSAT instrument and has previously been involved in radiometric calibration of the (A)ATSR(2) series of SST measurements. Prof. Muller has been a member of the NASA EOS MODIS and MISR science teams since 1990 responsible for the development of the operational multi-angle retrieval of surface BRDF/albedo and cloud-top and aerosol-top heights and winds. The successful applicant will be engaged in processing a climatic time series of tower-based measurements for the retrieval of broadband and spectral BRF, BRDF and albedo from input calibrated spectral surface directional reflectances (SDR) as well as albedometer measurements of the Earth's land surface from field instruments included in several networks, such as FLUXNET, SURFRAD, BSRN and RADCALNET. This processing will include the development of an ATBD (Algorithm Theoretical Basis Document) for the derivation of the Reference Measurements from the raw measurements as well as their associated uncertainties; ATBD for detailed definition of the derivation of the Land Product matchups per site and sample code which will be employed by ACRI to develop operational processing chains for validation of EU Copernicus Land Service products.
This is a fixed term post funded until the 31st August 2018.
Minimum qualification, which must be obtained before taking up the post, is a Ph.D. in land surface science and significant experience, preferably related to BRDF/albedo mapping and upscaling of field measurements to satellite scales.
Programming (in Java and/or Python) for EO satellite and in-situ data, spatial data processing, time series analysis, experience with BRDF and Albedo creation, particularly related to the data fusion, knowledge of Unix and MacOS and using distributed system and big data processing (JASMIN/CEMS).
Research track record as evidenced by either a publication list appropriate for age and experience or a list of relevant software developed to meet the essential skills required.
For further details about the vacancy and how to apply online please go to https://www.ucl.ac.uk/human-resources/working-ucl/jobs-ucl and search on Reference Number 1712091
Further information about MSSL in general can be found at http://www.ucl.ac.uk/mssl Specific questions about the post should be addressed to Professor Jan-Peter Muller ( firstname.lastname@example.org ) in the first instance. If you have any queries regarding the vacancy or the application process, please contact (Suzanne Winter), ( email@example.com ), (01483 204122).
Closing Date: 12 March 2018
Latest time for the submission of applications: 23.59.