1. A PhD in the field of soil science, agricultural science, systems modelling or similar fields of science.
2. Demonstrated ability to conduct simulation modelling of process interactions in soil-plant systems and to evaluate their impact on crop productivity and soil functions.
3. A sound understanding of soil functions and what drives soil water availability, and carbon and nutrient dynamics across cropping systems.
4. Demonstrated experience in the prediction of soil functional properties using systems understanding combined with novel approaches like process-based modelling, spatial modelling, machine learning and other AI methods.
5. Demonstrated data analytic ability to manage large biophysical datasets and develop customised work routines for automating complex modelling scenarios for soil and plant systems simulations.
6. Excellent written and oral communication skills including the ability to publish research results, prepare reports and present research results at international conferences and stakeholder meetings, evidenced by a solid record of publication in top-tier journals and conference proceedings.
7. A record of science innovation and creativity plus the ability & willingness to incorporate novel ideas and approaches into scientific investigations.
The successful applicant may be required to obtain and provide a National Police Check or if they are not an Australian Citizen or Permanent Resident, they may be required to undergo additional security clearances, which may include medical examinations and an international standardised test of English language proficiency.
For more information about this role please view the Position description.