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

Postdoctoral Research Fellow@UQueensland

This is a full-time (100%), fixed-term postdoctoral research position for up to 2 years at the Australian Academic Level A or B commensurate with relevant qualifications and experience. The position will be based in The School of Mathematics and Physics at the University of Queensland in Brisbane, Australia.

This position is funded by an Australian Research Council Discovery Project, “Reaching new frontiers of quantum fields and gravity through deformations.”

The project is led by Dr Gabriele Tartaglino-Mazzucchelli at the University of Queensland, together with the associate investigators:
Jock McOrist (University of New England, Australia),
Peter Bouwknegt (Australian National University, Australia),
Savdeep Sethi (University of Chicago, USA),
Alessandro Sfondrini (Padova University, Italy).

For more information about this opportunity, please contact Dr Gabriele Tartaglino Mazzucchelli via and visit the following website.

Applications close on Monday 19 February 2024 at 11.00pm AEST (R-34592). Interviews will be arranged by the end of February.

More details and application link at this page.

Postdoc in Mathematical Biology at Univ. Sydney

Location: School of Mathematics and Statistics, The University of Sydney
Employment Type: Full time 2 year fixed term
Duration: 2 years fixed term appointment
Remuneration: $97,043–$100,717 p.a. + 17% superannuation (Level A)
Closing Date: 11.59pm; 13 August 2023

About the opportunity

We are seeking to appoint a Postdoctoral Research Associate in Mathematical Biology (with a focus on modelling the immune system) to conduct innovative research in mathematical and computational modelling of immune system dynamics. The position will be under the supervision of Prof Peter Kim (University of Sydney).

Some of your responsibilities will be to:

• work under the supervision of Prof Peter Kim in collaboration with Prof Federico Frascoli (Swinburne University of Technology), Dr Robyn Araujo (Queensland University of Technology), and Prof Peter Lee (City of Hope and Beckman Research Institute, Duarte, USA)
• develop mathematical and computational models of immune dynamics
• write scholarly papers for publication in academic journals
• present research at seminars, conferences, and workshops
• teach undergraduate courses (approximately 26 lecture hours and 24 tutorial hours per year)

This position has been made possible by the awarding of an Australian Research Council Discovery Project to chief investigators Prof Peter Kim (University of Sydney), Prof Federico Frascoli (Swinburne University of Technology), Dr Robyn Araujo (Queensland University of Technology), and partner investigator Prof Peter Lee (City of Hope and Beckman Research Institute, Duarte, USA).

To learn more about the School of Mathematics and Statistics click here.

To keep our community safe, please be aware of our COVID safety precautions which form our conditions of entry for all staff, students and visitors coming to campus.

Pre-employment checks

Your employment is conditional upon the completion of all roles required pre-employment or background checks in terms satisfactory to the University. Similarly, your ongoing employment is conditional upon the satisfactory maintenance of all relevant clearances and background check requirements. If you do not meet these conditions, the University may take any necessary step, including the termination of your employment.

EEO statement

At the University of Sydney, our shared values include diversity and inclusion and we strive to be a place where everyone can thrive. We are committed to creating a University community which reflects the wider community that we serve. We deliver on this commitment through our people and culture programs, as well as key strategies to increase participation and support the careers of Aboriginal and Torres Strait Islander People, women, people living with a disability, people from culturally and linguistically diverse backgrounds, and those who identify as LGBTIQ. We welcome applications from candidates from all backgrounds.

How to apply

Learn more about this position and apply:–with-a-focus-on-Modelling-the-Immune-System-_0105303-1.

Postdoctoral Research Fellow in Statistical Mechanics

Location: School of Mathematics and Statistics, The University of Melbourne
Level: A/B
Duration: 2 years
Closing date: 5 August 2023

This is an exciting opportunity to work on the Australian Research Council funded project “Transformative simulation techniques for complex networks” with a team of esteemed researchers led by Professor Aleks Owczarek and Dr Nicholas Beaton. The project aims to expand the simulation of single-lattice polymer models in statistical mechanics to a range of complex topologies and complicated interacting environments using next generation simulation algorithms on modern computational clusters.

The project provides a unique platform to collaborate with leading researchers around the world based at the Queen Mary University of London, University of British Columbia and Swinburne University of Technology.

You will significantly contribute towards the research effort of the team and to develop your research expertise with an increasing degree of autonomy under the guidance (at Level A) and in collaboration (at Level B) of Senior Academic staff conduct internationally competitive research, resulting in publications in high impact journals. In particular you are expected to progress the research agenda described in the ARC DP230100674 proposal as developed by the CIs, and contribute to teaching, training, scientific mentoring and supervision of students

For more information and to apply, see