Be based within CQUniversity’s Precision Livestock Management (PLM) team; recognised as the national leader in the field of sensor and data driven livestock research. Our area of speciality is testing new and emerging technologies to improve on-farm welfare, profitability and productivity outcomes.
This vacancy is an opportunity for you to work on an Advance Queensland Industry Research Fellowship project with CQUniversity and the Australian Wool Innovation (AWI). This research project will be testing the AWI developed smart sensor ear tags and address animal health and wellbeing issues faced by Queensland sheep producers. The project has two broad objectives:
- Testing and evaluation of the AWI smart tag under real farm (commercial) conditions over an extended period of time; and
- Development of behavioural algorithm models for integration in to the system to deliver information in a useable format to sheep producers. This entails the detection of sheep predation events to more subtle behaviour changes associated with disease development.
Your new role:
- Conducting research with an emerging technology, producing conference papers and publications, and contributing to the preparation of research reports to funding bodies.
- Liaising and consulting with internal and external collaborators, support research staff and producers.
You will have:
- Completed a postdoctoral qualification, or equivalent qualifications and research experience.
- A strong interest in the Australian livestock sector, precision management livestock technologies and/or animal behaviour, health and welfare paired with experience in handling livestock (ideally sheep).
- Proven ability to undertake comprehensive investigative research work, demonstrating expertise and skill in research methods and ability, including analysis, interpretation of results and preparation of research reports and papers.
- Demonstrated experience and skills in at least one of following topics; GPS/accelerometers/on-animal sensors; GIS software/spatial analysis; livestock behaviour, health and disease (ideally with sheep) and/or livestock handling experience.
Applications close 3 March 2019