The University of Sussex invites applications for a Postdoctoral Research Fellow to apply advanced data science and machine learning techniques used in astronomy to Earth Observations facilitating improved hazard early warning models in Kenya.
This pilot project is funded by the Science Technology and Facilities Council (STFC) as part of the Global Challenges Research Fund.
You will be part of an interdisciplinary team of astronomers and climate and land change scientists.
This project will use data from the Copernicus Sentinel mission (data provided every 5-12 days at 10-20m resolution) with 13 spectral bands including three red-edge bands providing key information on vegetation state.
The activities in this pilot will be
to develop, calibrate and bench-mark new tools for land-use classification from multi-spectral remote sensing data
to develop new techniques for temporal characterisation (phenology) of remote-sensing data and identification of atypical change-points in usage or yields
to provide a prototype for an empirical forecasting model
You will be someone who has the imagination and technical skills to find creative, collaborative solutions to these important challenges.
You will work within the Data Intensive Science Centre http://www.sussex.ac.uk/discus/, the Astronomy Centre, http://www.sussex.ac.uk/astronomy/ and as part of the Schools of Mathematical and Physical Sciences, and Global Studies (ranked number 1 in the world for development studies in QS 2016/2017).
Full details are on University of Sussex recruitment www pages
Candidates should complete an application form and include a CV and a statement of research interests and skills with their application.