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Sunday, May 8, 2016

Met-jobs Digest, Vol 622, Issue 6

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Today's Topics:

1. FW: Job opportunity at UCL (Roger Brugge)


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Message: 1
Date: Sat, 7 May 2016 14:59:12 +0000
From: Roger Brugge <r.brugge@reading.ac.uk>
Subject: [Met-jobs] FW: Job opportunity at UCL
Message-ID:
<B510E661B180DE459DF354D6B8026C1DF9E2593B@vime-mbx5.rdg.ac.uk>
Content-Type: text/plain; charset="us-ascii"


We are seeking a Research associate to work on the EU H2020 MULTIPLY project which aims to provide a seamless integration of different data streams coming from the Sentinel family of Earth Observation satellites, that results in an inference of land surface parameters their and associated uncertainty. The project is led from Leiden University, with partners around Europe. The Research Associate (RA) at UCL will mainly be involved with the optical processing chain. This includes the development of suitable models of radiative transfer (RT) for vegetation and soils, the creation of efficient emulator models of the RT models, as well as the development of efficient strategies for the optimal treatment of coarse and high resolution data. The RA will also be involved in the validation of MULTIPLY-derived products with ground data.


The post is funded in the first instance for 40 months commencing on the 1st June 2016.

Key Requirements


The successful candidate will need to have a Postgraduate qualification in remote sensing or other relevant discipline. We will consider applications from candidates close to PhD submission and from those that have a Masters Degree combined with proven relevant work experience. It is essential that they can demonstrate a sound understanding of relevant areas of Mathematics, in particular linear algebra, probability theory, Bayesian statistics and inverse problem theory. Also they must have experience of biophysical parameter retrieval and uncertainty characterization from Earth Observation (EO) data.


See here<https://goo.gl/GioEMT> for more information

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