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From time to time vacancies arise within the department. Posts will be advertised on this page as and when they arise.
- KTP Associate: Precision Agriculture Data Scientist
This is a unique opportunity to work in a dynamic, innovation-focused start-up with world-leading academics on a complex project that aims to change the face of modern agriculture. Hummingbird Technologies Limited, a new company leading innovation in precision agriculture, is now partnering with academics from UCL Department of Statistical Science to achieve a step-change in their business by improving the science behind Hummingbird’s machine learning capabilities.
Working at the heart of this Knowledge Transfer Partnership (KTP), the postholder will improve the science, collection protocol, dataset quality and analysis behind Hummingbird’s machine learning capabilities. This will involve assessing crop health on field visits and developing models and tools within the Hummingbird software platform to help Hummingbird achieve 95%+ accuracy on their presymptomatic disease and weed detection algorithms.
The ideal candidate will have experience in statistical modelling and analysis, image analysis and applied machine learning methodology as well as a MSc (for Grade 6) or PhD (for Grade 7) in Data Science, Machine Learning, Big Data Analytics, Statistics, Engineering, Mathematics or another relevant field. Strong analytical, problem-solving and communication skills would also be key. Experience using RNN/LSTM, CNN, Python and ensemble learning approaches would be advantageous.
The role is funded for two years in the first instance and is available immediately.
Closing date: 05 April 2019