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Position: KTP Associate: Precision Agriculture Data Scientist
Institution: University College London
Department: Department of Statistical Science
Location: London, United Kingdom
Duties: The post holder will draw up a supervisory agreement in consultation with the project investigator and will then be responsible for the day to day running of the project. They will develop the business research and keep the project supervisors informed of the progress at regular meetings, as well as disseminating outcomes from the project through internal and external conferences and journal papers
Requirements: It is essential that the successful candidate has experience in statistical modelling and analysis, and applied machine learning methodology with demonstrable skills in the use of RNN/LSTM, CNN and ensemble learning approaches; programming experience in Python adequate for data science research; and strong analytical, problem solving and communication skills. For appointment at Grade 6, candidates should hold an MSc (or equivalent qualification) in Data Science (Big Data Analytics, Machine Learning or closely related subject), Statistics, Engineering or Mathematics, combined with specific relevant industry experience. For appointment at Grade 7, candidates should hold or be close to submitting a PhD (or equivalent qualification) in Machine Learning/Image Analysis/Pattern Recognition/Applied Statistics/Data Science or closely related subject
   
Text: KTP Associate: Precision Agriculture Data Scientist, - Ref:1717708 Click here to go back to search results Apply Now UCL Department / Division Department of Statistical Science Location of position London Grades 6-7 Hours Full Time Salary (inclusive of London allowance) Grade 6: ?30,316 - ?31,967 per annum or Grade 7: ?34,635 - ?41,864 per annum Duties and Responsibilities The UCL Department of Statistical Science , in partnership with Hummingbird Technologies Limited , is offering a unique opportunity to work with two prestigious organisations on a project to improve the science, collection protocol, dataset quality and analysis behind Hummingbird?s machine learning capabilities to achieve a 95% accuracy on their presymptomatic disease and weed detection algorithms to create commercially scalable products in line with Hummingbird?s vision. The Knowledge Transfer Partnership (KTP) will address how to understand and improve data collection for crop health via field visits, and to research, develop and integrate models and tools within the Hummingbird software platform. The post holder will draw up a supervisory agreement in consultation with the project investigator and will then be responsible for the day to day running of the project. They will develop the business research and keep the project supervisors informed of the progress at regular meetings, as well as disseminating outcomes from the project through internal and external conferences and journal papers. Available immediately, the post is funded for two years in the first instance and includes a ?4,000 dedicated personal development budget and ?7,500 for travel and consumables. Key Requirements For appointment at Grade 6, candidates should hold an MSc (or equivalent qualification) in Data Science (Big Data Analytics, Machine Learning or closely related subject), Statistics, Engineering or Mathematics, combined with specific relevant industry experience. For appointment at Grade 7, candidates should hold or be close to submitting a PhD (or equivalent qualification) in Machine Learning/ Image Analysis/ Pattern Recognition/ Applied Statistics/ Data Science or closely related subject. It is essential that the successful candidate has experience in statistical modelling and analysis, and applied machine learning methodology with demonstrable skills in the use of RNN/LSTM, CNN and ensemble learning approaches; programming experience in Python adequate for data science research; and strong analytical, problem solving and communication skills. Appointment at Grade 7 is dependent upon having been awarded a PhD; if this is not the case, initial appointment will be at Grade 6 (salary range as above) with payment at Grade 7 being backdated to the date of final submission of the PhD thesis. Further Details A job description and person specification can be accessed at the bottom of this page, together with some details about the Department and Hummingbird. To apply for the vacancy please click on the ?Apply Now? button below. Informal enquiries regarding the vacancy may be addressed to Dr Jinghao Xue, email: jinghao.xue@ucl.ac.uk , tel: 44(0)20 7679 1863. For any queries regarding the application process please contact Dr Russell Evans, email: russell.evans@ucl.ac.uk , tel: 44 (0)20 7679 8311. UCL Taking Action for Equality Closing Date 23 May 2018 Latest time for the submission of applications 23.59 Interview date TBC Our department holds an Athena SWAN Bronze award, in recognition of our commitment to advancing gender equality. This appointment is subject to UCL Terms and Conditions of Service for Research and Support Staff. Please use these links to find out more about the UCL Terms and Conditions related to this job, employee benefits that we offer and further information about UCL . Further Particulars Apply Now
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