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This is an opportunity to work with an innovative team in the exciting New Zealand livestock sector. A research position focussed on developing and testing sheep monitoring systems that are aided by machine learning. The position is funded for six-months by a Callaghan Career Grant for a recent Masters or PhD graduate.
This position involves working at the interface between the rural sector and advanced computer vision technologies. In 2018 neXtgen Agri played a key role in developing a sheep recognition system that could identify individual sheep in a flock of 2,000 with an accuracy of 95%. Since then we have continued to develop the system and we are working to extend that research into a world-leading system that is compatible with the day-to-day running of a sheep farm. We are currently developing a system that can match ewes with their progeny based on cameras that are enabled with machine learning. This position will be primarily focussed on the on-farm implementation of these image capture systems and will be defining the accuracy of the deployed systems.
The position will involve a considerable amount of domestic travel.
- Experience in collecting large data sets
- Experience in working with sheep on large commercial farms
- Experience in working with electronics and computer systems
To be eligible for this role, candidates must have completed either a Masters or PhD in the last 12 months with a New Zealand University and must be legally able to work in New Zealand.
A valid NZ drivers licence is a prerequisite
About neXtgen Agri Ltd
We are a Christchurch-based company that services the sheep and beef industries of New Zealand and Australia. We offer on-farm consulting and online training to farming families. We also conduct research and development projects in collaboration with Universities and industry organisations. Check out www.nextgenagri.com for more information.
If you have the skills, are self-motivated and are keen to make a difference to the Australasian food and fibre industry - apply today.
Please provide a CV and a cover letter supporting your application. Applications will close on the 16th of July or as soon as a suitable candidate is identified. Email email@example.com [link removed] if you would like additional information about the position.
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