This exciting opportunity is part of a large Cooperative Research Centre Food Agility Project working on whole-of-farm and data-driven decision making. This initiative includes UTS, QUT, AgriWebb, and CIBO Labs, among others.
Under the supervision of Dr. Daniel Ramp and working closely with Dr. Kenny Sabir (VP Research and Development at AgriWebb) and the larger team, you will lead analytic research seeking to improve the quality of pasture information available to decision makers and to identify interventions farmers can make to improve resilience and biodiversity in the face of climatic change in production landscapes.
As a Postdoctoral Research Fellow, you will play a pivotal role in developing models and strategies that enhance pasture quality and foster biodiversity.
To be successful in applying for this role, you should have the:
• A PhD with a strong quantitative focus.
• Experience in agricultural modeling, remote sensing, drones, and/or carbon modeling.
• Proficiency in Python (NumPy, SciPy, scikit-learn) or multiple languages for complex data modeling.
• Sound understanding of agricultural crop production, biodiversity conservation, machine learning, and AI.
• Awareness of data analytic challenges in industry and government.
• Experience of leading fieldwork.
Remuneration/SalaryBase Salary Range: $117,420 to $138,973 pa (Level B)This role also attracts 17% superannuation (pension) in addition to the base salary. This position is full time and the appointment will be made on a fixed term basis for 24 months.
