Postdoc Research Fellow in Mathematical Optimisation Methods

  • Location: University of Queensland, The School of Mathematics and Physics
  • Level: Academic Level A,
  • Duration: Fixed-term position for up to 3 years
  • Remuneration: $77,324.85 — $102,945.12 annually, plus super allowance of up to 17%. 
  • Closing date: 22 April 2024 at 11.00pm AEST
  • Reference: R-35802

Play a lead role in developing optimisation and decision-making models in agriculture supply chain analytics.
Apply mathematical optimisation methods. Based at our vibrant and picturesque St Lucia Campus. 

About this Opportunity

The grains industry has a gross value of > $30 billion per year produced from sowing 25 M ha of crops and is a major export industry for Australia. The Grains Research and Development Corporation (GRDC) uses grower levies to fund more than 800 research, development and extension (RD&E) investments worth $177 million (2022–23). UQ co-invests in grains research including via a new initiative, Analytics for the Australian Grains Industry (AAGI) which involves researchers and students from the Schools of Agriculture and Food Sustainability, Maths and Physics, and Electronic Engineering and Computer Science as well as from QAAFI (Queensland Alliance for Agriculture and Food Innovation – co-funded by the Queensland Government).

AAGI is a five-year strategic partnership across UQ, Curtin University, and the University of Adelaide that is aimed at harnessing analytics to drive the sector’s profitability and global impact. AAGI gives Australian growers an opportunity to be world leaders in analytics-driven decision making to drive efficiency and precision and support farm enterprise risk management. AAGI at UQ provides an exciting environment for researchers to focus their efforts on developing their expertise and emerging research profile in their discipline.

This postdoctoral fellowship position based in the School of Mathematics and Physics will apply mathematical optimisation methods to examine analyse and optimise supply-chain related to the inputs (seeds, fertiliser, management etc) and outputs (yield and quality traits) associated with the on-farm production as well as storage and off-farm movement of grain crop products. In addition to AAGI, this position will service research needs of other UQ and GRDC supported projects

This is a research-focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance.

The greater benefits of joining the UQ community are broad: from being part of a Group of Eight university, to recognition of prior service with other Australian universities, up to 26 weeks of paid parental leave, 17.5% annual leave loading, flexible working arrangements including hybrid on site/WFH options and flexible start/finish times, and genuine career progression opportunities via the academic promotions process.

Visa sponsorship may be available for this appointment. 

Applications close Monday 22 April 2024 at 11.00pm AEST (R-35802).
Please note that interviews have been tentatively scheduled for early May.

More Information and How to Apply

For more information about this opportunity, please contact Dr Mahdi Abolghasemi via

For application queries, please contact stating the job reference number (R-35802) in the subject line. 

Please apply via the UQ Careers website via:—Mathematical-Optimisation-Methods_R-35802-1?q=35802