This post presents an excellent opportunity to join the team of researchers working in School of Veterinary Medicine and Science at University of Nottingham in precision livestock farming and work alongside various Industry partners.
Research involves use of cutting edge technologies (thermal imaging and multisensor systems) to collect data on animal behaviour, animal health, production parameters and environment in the pen/shed. We will use these heterogenous highly informative data streams to develop algorithms for animal health and welfare. You will be involved in study design, data collection, data annotation and development of algorithms using various machine learning approaches including computer vision.
You will work at School of Veterinary Medicine and Science and will be key member of Ruminant Population Health strategic research area of school.
See more details of our work in this domain at https://www.kaler-researchgroup.co.uk/
This is a fixed-term post until 16 December 2019. Hours of work are full-time (36.25 hours), however job share arrangements may be considered.
Research is central to the activities of the School of Veterinary Medicine and Science at the University of Nottingham and we are member of Centre for Innovation Excellence for Livestock. In the 2014 Research Excellence Framework assessment, 97% of work submitted by the Schools of Veterinary Medicine and Science and Biosciences was judged to be of international quality, and 37% of work as world-leading (4-star). Research environment was ranked top of all institutions within our Unit of Assessment (Agriculture, Veterinary and Food Science).
Informal enquiries may be addressed to Jasmeet Kaler, email jasmeet.kaler@nottingham.ac.uk. Please note that applications sent directly to this email address will not be accepted.
Closing Date: 20 Jun 2019
Category: Research and Teaching (R&T)
