About This Opportunity
We are seeking a Postdoctoral Research Fellow to join an exciting research project at the intersection of mathematical optimisation, numerical linear algebra, and machine learning/artificial intelligence. This project focuses on the development of novel theoretical frameworks alongside cutting-edge computational techniques for large-scale optimisation problems, with direct relevance to modern machine learning and AI applications.
This role offers an outstanding opportunity for an early-career researcher to build depth and independence in mathematical and numerical optimisation, while contributing to a high-impact, internationally collaborative research program.
Key responsibilities will include:
Research: Develop an emerging research program in mathematical optimisation and computational mathematics, collaborate on joint research projects, contribute to applications for competitive research funding, publish in high-quality journals and present at leading conferences, apply best-practice research methodologies, and contribute to knowledge translation and research discussions within the project team.
Supervision and Researcher Development: Contribute to the supervision of Honours and Higher Degree by Research students, provide guidance and mentoring to support researcher development, assist with the effective management of research support staff as appropriate, provide constructive feedback, and support a positive and inclusive research environment.
Citizenship and Service: Demonstrate behaviours aligned with UQ values, actively participate in internal service roles and administrative activities, contribute to committees and decision-making processes, collaborate effectively within the School and broader University, support colleagues as required, and begin to develop external relationships with academic, industry, and government partners.
This is a research focused position. Further information can be found by viewing UQ’s Criteria for Academic Performance.
About UQ
As part of the UQ community, you will have the opportunity to work alongside the brightest minds, who have joined us from all over the world, and within an environment where interdisciplinary collaborations are encouraged.
At the core of our teaching remains our students, and their experience with us sets a foundation for success far beyond graduation. UQ has made a commitment to making education opportunities available for all Queenslanders, regardless of personal, financial, or geographical barriers.
As part of our commitment to excellence in research and professional practice in academic contexts, we are proud to provide our staff with access to world-class facilities and equipment, grant writing support, greater research funding opportunities, and other forms of staff support and development.
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, access to exclusive internal-only vacancies, and genuine career progression opportunities via the academic promotions process.
About You
Completion or near completion of a PhD in applied or computational mathematics, computer science, or a related discipline.
An emerging profile in research areas related to the project such as optimisation, numerical linear algebra, machine learning and artificial intelligence, numerical analysis, and computational mathematics.
Evidence of publications in high-quality journals and presentations at leading conferences in relevant fields.
Some experience in meaningful internal service roles and contributions towards external activities
Appointment to this role is subject to the successful completion of relevant pre-employment checks, which may include verification of the right to work in Australia and qualifications. This may also include checks relating to gender-based violence matters or other integrity and conduct requirements.
You must maintain unrestricted work rights in Australia for the duration of this appointment to apply. Employer sponsored work rights are not available for this appointment.
Questions?
For more information about this opportunity, please contact Professor Fred Roosta at fred.roosta@uq.edu.au
For application inquiries, please reach out to the Talent Acquisition team at talent@uq.edu.au, stating the job reference number (below) in the subject line.
Want to Apply?
We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload:
Our strength as an institution lies in our diverse colleagues. We're dedicated to equity, diversity, and inclusion, fostering an environment that mirrors our wider community. We're committed to attracting, retaining, and promoting diverse talent, particularly from Australia’s First Nations Peoples. If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact talent@uq.edu.au.
Other Information
UQ is committed to a fair, equitable and inclusive selection process, which recognises that some applicants may face additional barriers and challenges which have impacted and/or continue to impact their career trajectory. Candidates who don’t meet all criteria are encouraged to apply and demonstrate their potential. The selection panel considers both potential and performance relative to opportunities when assessing suitability for the role.
Applications close 16 February 2026 at 11.00pm AEST (R-60373).
