Location: | Lincoln |
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Salary: | From £36,333 per annum |
Hours: | Full Time |
Contract Type: | Fixed-Term/Contract |
Placed On: | 15th March 2023 |
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Closes: | 2nd April 2023 |
Job Ref: | COS968 |
Please note, this post is fixed term until 30 June 2025, and full time at 1.0 FTE.
Closing Date: Sunday 02 April 2023
Interview Date: See advert
The University of Lincoln is working towards an exciting project together with the industry which will step change nitrogen and nutrient management for cereals farmers. The project will develop a novel digital platform targeted to drive nitrogen use efficiency in wheat with minimal yield loss. In addition, the platform will secure secondary income streams to farms, facilitate farm integration to environmental land management schemes and enhance food security by reducing dependency on nitrogen input costs and global cereal commodity prices. The platform will use state of the art machine learning techniques fusing data across multiple input sensors to support and inform farmer decisions. The platform will predict optimal nitrogen requirement based on local environmental conditions, forward weather forecasts and growth stage.
One of the key functionalities of the platform is to provide reliable in-field measurements about the crop status including its canopy size and structure. This will be realised through a real-time 3D reconstruction of the crop area from a consumer device followed by extraction of key crop traits and their subsequent use by the forecasting engine. For that purpose, we are looking to recruit a Post-Doctoral Research Associate with relevant experience and/or a keen interest in computer vision and computer graphics, vision and 3d laser sensing technology and visual SLAM techniques. The investigation will focus on robust handling of occlusions and understanding of the crop semantics.
Applicants should have or expect to soon obtain, a PhD in a relevant area. You must have excellent mathematical and coding skills (C++/Python) and be familiar with key computer vision libraries (OpenCV/PCL/PyTorch). This opportunity allows you to engage in international collaboration within an ambitious team, to work with state-of-the-art robotic hardware and software, and to benefit from excellent support to produce and disseminate original research contributions in the leading international conferences and journals.
This is a full-time post, fixed-term for 24 months initially, with excellent opportunities for ongoing career development and progression. Informal enquiries about the post can be made to Dr Grzegorz Cielniak (email: gcielniak@lincoln.ac.uk).
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We strive for a diverse workforce with the very best employees and are committed to creating an inclusive environment for all. The University encourages applications from underrepresented groups inclusive of Black, Asian and other minoritised/marginalised ethnic groups, all gender identities and expressions from the LGBT+ community, candidates with a disability, and those that practise different faiths and beliefs, to enhance our One Community where we strive to be kind, patient, and supportive of each other.
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