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Position: Research Associate for SoW (Sentinels of Wheat) Project
Institution: University College London
Department: Geography
Location: London, United Kingdom
Duties: The main focus of the Research Associate (RA) at UCL will be in the ingestion of Sentinel-1 SAR and optical data into the DA system. This includes the development of suitable radiative transfer models (observation operators) to integrate SAR data into the EO-LDAS system, the harmonization of the microwave models with the optical models and the development of efficient strategies for preprocessing of optical and SAR data. Particular skills in parameter estimation, as well as familiarity with using and modifying radiative transfer models are sought
Requirements: It is essential that the successful candidate has an MSc or PhD in remote sensing or another relevant discipline. As well as excellent scientific computing skills, including experience in Unix/Linux and a high level of expertise in the UNIX shell, Python. They will also have a sound understanding of Mathematics, in particular probability theory, Bayesian statistics and optimization theory
   
Text: Research Associate for SoW (Sentinels of Wheat) Project, - Ref:1729358 Click here to go back to search results Apply Now UCL Department / Division Geography Location of position London Grade 7 Hours Full Time Salary (inclusive of London allowance) ?34,635 per annum Duties and Responsibilities The Research Associate will be working on the Sentinels of Wheat (SoW) project is an extension of the existing ?Regional Crop Monitoring and Assessment with Quantitative Remote Sensing and Data Assimilation? project jointly funded by STFC and NSFC. It aims to leverage existing tools, data and expertise to demonstrate how streams of operational satellite data (the ESA Sentinels in particular) can provide a robust monitoring system for winter wheat to enhance the existing CHARMS system that reports on crop status and yield estimates to the Chinese government. The main focus of the Research Associate (RA) at UCL will be in the ingestion of Sentinel-1 SAR and optical data into the DA system. This includes the development of suitable radiative transfer models (observation operators) to integrate SAR data into the EO-LDAS system, the harmonization of the microwave models with the optical models and the development of efficient strategies for preprocessing of optical and SAR data. Particular skills in parameter estimation, as well as familiarity with using and modifying radiative transfer models are sought. The post is initially funded until 31st March 2019. Key Requirements It is essential that the successful candidate has an MSc or PhD in remote sensing or another relevant discipline. As well as excellent scientific computing skills, including experience in Unix/Linux and a high level of expertise in the UNIX shell, Python. They will also have a sound understanding of Mathematics, in particular probability theory, Bayesian statistics and optimization theory. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at research assistant Grade 6B (salary ?30,316 - ?31,967 per annum inclusive of London Allowance) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Further Details A job description and person specification can be accessed at the bottom of this page. To apply for this vacancy please click on the 'Apply Now' button. For further details please contact Dr. Qingling Wu ( qingling.wu@ucl.ac.uk ) and Dr. Mat Disney ( m.disney@ucl.ac.uk ). UCL Taking Action for Equality Closing Date 14 Jul 2018 Latest time for the submission of applications 23:59 Interview date TBC This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Futher Apply Now
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