Full-time fixed-term position for up to 2 years
Base salary will be in the range $83,698.91 - $111,431.10 + 17% Superannuation (Academic Level A)
Based at our St Lucia Campus
Join a high-impact, collaborative research program at UQ as a Postdoctoral Research Fellow, working at the intersection of visualisation, visual analytics, human-centred computing, and spatial environmental analytics. In this role, you will design next-generation interactive tools that help researchers and decision-makers explore complex trade-offs across biodiversity, renewable energy, and agricultural productivity using cutting-edge land-use models (LUTO2).
You’ll be part of a supportive, multidisciplinary environment spanning UQ’s School of the Environment and Human-Centred Computing, with strong national collaboration. This is a unique opportunity to build your research independence, grow your expertise in computational visualisation and decision support, and contribute to innovative solutions that shape sustainable land-use futures.
Key responsibilities will include:
Research: Develop and deliver a research program in computational visualisation and visual analytics, including designing interactive tools, applying human-centred methods, publishing outputs, and contributing to funding applications and collaborative projects.
Supervision and Researcher Development: Support and mentor Honours and HDR students, providing guidance in visual analytics and research practices while contributing to effective coordination of research activities.
Citizenship and Service: Contribute to a collaborative research culture through active participation in service roles, cross-disciplinary engagement, and building 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.
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.
Completion or near completion of a PhD in computer science, information visualisation, visual analytics, human-centred computing (HCI), spatial data science, or a closely related discipline (e.g. applied mathematics, environmental informatics).
An emerging research profile aligned to areas such as interactive visualisation, visual analytics, human-centred computing, spatial/temporal visualisation, geo-visual analytics, or decision-support interfaces.
Demonstrated research capability through publications in high-quality journals and presentations at recognised conferences.
Proven ability, or strong interest, in working with large, high-dimensional datasets and translating complex modelling outputs into intuitive visual tools.
Proficiency in relevant programming languages or tools (e.g. R, Python, JavaScript, Ruby) for developing interactive, data-driven visualisations.
Strong collaboration and communication skills, with the ability to convey technical concepts to diverse audiences in interdisciplinary environments.
Evidence of contribution to service and a commitment to fostering an inclusive, collegial research culture.
Desirable:
Experience with land-use or environmental datasets, multi-objective modelling (e.g. Pareto frontiers), usability testing with domain experts, or cross-institutional collaboration.
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 check. 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.
For more information about this opportunity, please contact Professor Eve McDonald-Madden, e.mcdonaldmadden@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.
We welcome applications from all individuals and are committed to an inclusive and accessible recruitment process. To be considered, please ensure you upload:
Resume
Cover letter
Responses to the ‘About You’ section
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.
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 Sunday 19 April 2026, 11.00pm AEST (R-62420).