Predictive Farming Phd Scholarship: Improving Risk Management With Ai-enhanced Weather Forecast

2 weeks ago

Brisbane, Queensland, Australia Buscojobs Full time
This project will investigate artificial intelligence (AI) to improve weather forecasts and use crop models for making better farming decisions.
The expected outcome is protocols for integrating AI-enhanced weather forecasts and crop models into farm management and planning tools.
This is expected to result in farmers making more informed decisions that optimise resource use, boost crop yields, and enhance overall farm productivity and profitability while minimising environmental impact.
Scholarship includes a 60-day Industry Engagement component with the industry partner and a structured professional development and training package.
Value Stipend of AUD $47,000 (2025 rate).
A project expense and development package of up to $13,000 per annum.
The maximum period of tenure of an award is 4 years.
Periods of study already undertaken towards the degree will be deducted from the period of tenure.
Eligibility To be eligible, applicants must: Have completed an Honours Degree with First Class or 2 A Honours, or equivalent level, or a master's degree with a significant research component.
Not be receiving support providing a benefit greater than 75% of the stipend rate.
Be an Australian citizen, Permanent Resident, or a New Zealand citizen.
Meet participating university Ph D admission requirements.
Meet university English language requirements.
Not have previously completed a Ph D.
Be able to commence the program in the year of the offer.
Enrol as a full-time Ph D student.
Be prepared to be located at the project location(s) approved by the host university and comply with the university's external enrolment procedures, if required.
Selection criteria To be eligible, applicants must have: A background in agriculture, meteorology, hydrology, or environmental science, with proficiency in statistical analysis and data processing.
Strong programming skills in R (preferable) and/or Python, and experience or interest in weather prediction or climate models.
Knowledge of machine learning, AI techniques, and cloud computing for data processing and model deployment.
Familiarity with crop models (APSIM, DSSAT, Aqua Crop), irrigation systems, and agricultural practices is advantageous.
Strong analytical, critical thinking, and problem-solving skills, along with experience in literature review, scientific writing, and effective presentation of research findings.
How to apply Ensure you have digital copies of: Curriculum vitae, including research presentations and publications.
Educational qualifications (testamur and academic transcripts for all undergraduate and postgraduate awards).
Applications must be submitted via the Uni SQ Scholarship Application Management System by the closing date.
If assistance is needed, download the Scholarship Online Application Manual (PDF 2.14 MB).
Closing Date Open until the scholarship is filled.
Further information For more details, view the attachment or contact Dr.
Brian Collins ( ).
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