
CSIRO Postdoctoral Fellowship in Digital Soil Health Benchmarking
- Canberra, ACT
- $99,990-109,527 per year
- Permanent
- Full-time
- Launch your career at Australia's National Research Organisation
- Develop a soil health framework for Australian agricultural production systems
- Join the CSIRO's Soil and Landscapes Group in Canberra
- Carry out research investigations requiring originality, creativity and innovation.
- Work effectively as part of a multi-disciplinary, often regionally dispersed research team, to undertake independent scientific investigations and carry out associated tasks under broad guidance from other Research Scientists.
- Conceptualise, design and test a novel framework for soil health assessments of Australian agricultural soil resources, taking into account current international and domestic literature, frameworks and expert opinion.
- Integrate several tiers of spatially explicit, and where applicable, temporal soil data including conventionally measured, proximally and remotely sensed into tools and metrics to support soil health benchmarking and thresholding.
- Carry out innovative, impactful research of strategic importance to CSIRO that will, where possible, lead to novel and important scientific outcomes.
- Recognise and exploit opportunities for innovation and the generation of new theoretical perspectives, and progress opportunities for the further development or creation of new lines of research.
- Record, manage, and analyse data/information using relevant domain data science techniques.
- A doctorate (or will shortly satisfy the requirements of a PhD). The doctorate must be in a relevant discipline area of soil science, such as soil condition and function assessment, pedometrics, digital soil mapping, soil spatial and temporal analysis.
- Please note: To be eligible for this role you must have no more than 3 years (full-time equivalent) of relevant research experience.
- A sound understanding of Australian and/or international soil systems, farming systems, soil spatial variability and agro-ecosystem function.
- Demonstrated knowledge and skills in designing and implementing field-based research aimed at quantifying or modelling the state and function of soils across spatially variable landscapes.
- Applied experience in using statistical and mathematical tools to analyse and interpret soil data, spatial modelling, multivariate statistics and/or machine learning, and relevant coding languages (e.g. R, Python), including a sound understanding of FAIR data principles, data management and version control.
- A current Australian driver's licence or the ability to obtain one.