Research Assistants x 3 Sheffield, England
Job description
We are seeking applications for a Research Assistant to develop machine learning techniques for sustainable pest management. The role is part of a large interdisciplinary project “PestGPT: Integrating Visual Intelligence and ChatGPT into a Mobile Solution for Sustainable Pest Management,” funded by Innovate UK. You will be working with Dr. Po Yang ( [email protected] ) at the Sheffield Pervasive Computing (PC) Group in the Department of Computer Science. The post includes collaboration opportunities with both UK industrial partners RSK ADAS and MUTUS TECH LTD. We have an exciting opportunity in the Department of Computer Science for someone with a passion for research looking to use their skills in deep learning to make an impact on ChatGPT-based intelligent agriculture application. Your standing and approaches will further strengthen our strong international research profile and our reputation for novel, research-led teaching.
This project, PestGPT, expands mobile visual intelligence with ChatGPT technology into an improved pest management solution that: 1) offers rapid detection and quantification of crop pests using mobile devices; 2) places pest quantification into context of regionally relevant pest tolerance thresholds; 3) provides estimation of economic thresholds and useful advice on crop pest management. The main output of this project will be a smart app that provides pest detection support, highlights the current threshold for the identified pest, and provides information on estimation of economic thresholds and useful advice on crop pest management. You will help us to develop these techniques and, with the support of algorithm engineer, will develop algorithms and software tools to make them accessible to end-users.
This role will extend and develop your knowledge of machine learning, pattern recognition 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. Working alongside agricultural experts, the role will offer you an opportunity to learn about applications of smart agriculture. Proof of publication in relevant international conferences is important along with experience in machine learning and pattern recognition. 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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