PML is looking for an enthusiastic and forward-looking data scientist to develop environmental intelligence applications using Earth Observation (EO) data from satellites, aircraft and drones. The successful applicant will work in the NERC EO Data Acquisition Service (NEODAAS) that provides researchers in the UK with EO data and services and has recently installed a new £1M 40-GPU cluster (MAGEO) with 2PB of storage. The postholder will work with UK scientists, applying machine learning and data science techniques to large EO datasets and will make use of the MAGEO system. They will tackle problems covering timeseries, image analysis and integration of data collected from multiple sources across diverse environmental science areas. Solutions to these problems will likely require technologies across the spectrum of machine learning, ranging from XGBoost and decision trees through to multilayer perceptron's, large scale convolutional neural networks and recurrent neural networks. The work will be driven by end-user requirements and will depend on both well established and state-of-the-art approaches to deliver results and publications.
The position is part of the 40+ person remote sensing teams at PML comprising marine and freshwater research scientists, Python Gurus, Data Ninjas, Linux Magicians and web visualisation experts. The group have extensive in-house computing resources available, holding an archive of satellite data which is being added to daily.