Publisher
source

University of Tennessee Institute of Agriculture

PhD in Drought Adaptation Modelling for Australian Mixed Farming Systems Tasmanian Institute of Agriculture in Australia

Degree Level

PhD

Field of study

Environmental Science

Funding

Full funding available

Deadline

Oct 1, 2026

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Country

Australia

University

University of Tennessee Institute of Agriculture

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Keywords

Environmental Science
Agriculture
Remote Sensing
Earth Science
Sustainable Agriculture
Drought Tolerance
Field Experimentation
Statistics

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About this position

PhD opportunity in drought adaptation modelling for Australian mixed farming systems at the Tasmanian Institute of Agriculture. This project addresses one of the most important challenges in Australian agriculture: drought impacts on crop yields, pasture growth, water availability, and farm profitability.

The PhD is part of a major national collaboration involving the Department of Agriculture, TIA, and Charles Sturt University. The research combines field experiments, climate data, remote sensing, and advanced modelling to understand drought impacts and evaluate adaptation strategies across diverse farming environments.

This opportunity is well suited to candidates interested in agricultural research, climate resilience, mixed farming systems, and data-driven modelling. The goal is to identify practical solutions that strengthen drought resilience in real-world farming landscapes.

Location: Launceston, Tasmania, Australia.

Application deadline: 1 October 2026.

Interested applicants should follow the project link for more information and application instructions.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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