UCL Space & Climate Physics

Research Associate for CEOI OVERPaSS
(On-board VidEo Rapid ProceSSing) project

Dorking, UK
Full Time
The appointment will be on UCL Grade 7.
The salary range will be 31,604 to 32,548 per annum, exclusive of London Allowance

An exciting opportunity have arisen for a Research Associate to join Prof. Jan-Peter Muller's Imaging Group in the Department of Space and Climate Physics. The postholder will work on a project funded by the UK Space Agency CEOI (Centre for Earth Observation Instrumentation) through a contract managed by Earth-i. 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 research and development of a deep learning based image matching algorithm for clouds and stereo matching algorithm for processing of massive satellite data, particularly for a large number of view angle intersections for application to "point-and-stare" video systems to generate dense point clouds. In addition, the applicant would be expected to collaborate with other members of the Imaging group working on machine vision and deep learning 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 is currently involved with a number of Sentinel missions. 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.

This is a full-time post that is available until 30 June 2021 in the first instance.

The postholder will be expected to have a PhD in computer vision and deep learning preferably related to airborne or satellite data or equivalent work experience. Programming experience (in C++ and/or Python) for EO stereo satellite data, knowledge of deep learning and computer vision, knowledge of stereo photogrammetry, and knowledge of linux are also essential requirements for this post.

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 1736020

Informal enquiries should be made to Yu Tao ( yu.tao@ucl.ac.uk ). If you are having difficulty accessing the on-line recruitment system please contact Mrs Suzanne Winter ( s.winter@ucl.ac.uk ) for advice.

Closing Date: 16 August 2018

Latest time for the submission of applications: 23:59.

Interview Date: TBC

UCL Taking Action for Equality.

We will consider applications to work on a part-time, flexible and job share basis wherever possible.

This role does not meet the eligibility requirements for a tier 2 certificate of sponsorship under UK Visas and Immigration legislation. Therefore UCL will not be able to sponsor individuals who require right to work in the UK to carry out this role. To apply click below:

posted: 16 July 2018     Please mention EARTHWORKS when responding to this advertisement.