|Salary:||£30,316 to £41,864 per annum, inclusive of London Allowance|
|Placed On:||1st August 2018|
|Closes:||29th August 2018|
The appointment will be on UCL Grade 0. The salary range will be Grade 6B: £30,316 - £31,967 per annum or Grade 7: £34,635 - £41,864 per annum, inclusive of London Allowance.
UCL Department of Statistical Science is the longest established university statistics department in the world and has played a pioneering role in the development of the subject. 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.
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.
UCL and Hummingbird are coming together through a Knowledge Transfer Partnership (KTP), a national scheme which helps businesses to innovate and grow, by linking businesses with a university and a highly-qualified graduate, known as a KTP Associate. We are now recruiting for a KTP Associate, specifically a Precision Agriculture Data Scientist, who will work full-time, based at the Hummingbird offices in central London, on this innovative project to put the latest academic research into practice.
As the Precision Agriculture Data Scientist working at the heart of this KTP, you 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 Precision Agriculture Data Scientist role is funded for two years in the first instance and is available immediately. The successful candidate will benefit from:
£4,000 dedicated budget for personal development to develop commercial and technical skills £7,500 dedicated budget for travel and consumables to share your work at international conferences Opportunities to publish your work in collaboration with UCL
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.
Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6B (salary range as above) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis.
UCL vacancy reference: 1739279
Applicants should apply online. To access further details about the position and how to apply please click on the ‘Apply’ button below.
Informal enquiries regarding the vacancy may be addressed to Dr Jinghao Xue, email: firstname.lastname@example.org , tel: +44(0)20 7679 1863. For any queries regarding the application process please contact Dr Russell Evans, email: email@example.com , tel: +44 (0)20 7679 8311.
Latest time for the submission of applications: 23.59.
Interview Date: 19th September 2018
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