|Salary:||£35,333 per annum. Grade 7|
|Placed On:||8th February 2023|
|Closes:||22nd February 2023|
Contract Type: Fixed term for 8 months, if start date after 23 March 2023 then this post will have a fixed end date of 30 November 2023
Faculty: Faculty of Engineering
We are seeking applications for a Research Associate to develop multimodal data fusion techniques for smart agricultural data utilisation and analytic. As a leading member of the Innovate UK: UK-China - funded FcIMCS project (Farmer-centred Interoperable Mobile-Cloud System: Integrating Data from Farming Activities and Environmental Information for Sustainable Fertiliser Management), you will work alongside Dr. Po Yang (firstname.lastname@example.org ) in the Department of Computer Science, and with both UK industrial partners (AntData and Velcourt) and China partners. More details about the project can be found here: www.sites.google.com/sheffield.ac.uk/fcimcs/home
Our goal is to develop techniques that optimise deep learning-based data fusion and visualisation algorithms for effective aggregating personal farmer daily fertiliser data and environmental information. A set of intelligent reasoning algorithms will be used and deployed in this platform for suggesting wise fertiliser recommendation with the economic benefits to farmers. You will help us to develop these techniques and, with the support of a Research Software Engineer, will develop software tools to make them accessible to practitioners. This will involve close collaboration with our partners in industry.
This role will extend and develop your knowledge of data fusion, visual analytic and computational modelling. You can hone your communication skills by contributing to research publications and running workshops and events to build a network of researchers and practitioners. You will hold a PhD in a relevant subject, or shortly will be assessed for a PhD level qualification (or have equivalent experience). Proof of publication in relevant leading peer reviewed conferences and/or journals is important along with experience in multi-modality data fusion and visual analytics. Some knowledge of mobile intelligence and pervasive computing would be highly desirable.
We are committed to exploring flexible working opportunities which benefit the individual and University.
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