19 Jul
The University of Queensland
Saint Lucia
- School of Electrical Engineering and Computer Science
- Full-time (100%), fixed-term position until June 2027
- Base salary will be in the range $82,057.75 - $109,246.18 + 17% Superannuation (Academic Level A)
- Based at our St Lucia Campus
About This Opportunity
Join a Groundbreaking Research Initiative at The University of Queensland. With a culture of collaboration and excellence, you will be part of a connected and inclusive community that values diversity and embraces it to collectively create positive change.
Are you ready to shape the future of agricultural science? We’re seeking a passionate and driven Postdoctoral Research Fellow/Research Officer to join a vibrant, interdisciplinary team at The University of Queensland.
This is a rare opportunity to contribute to a transformative research program aimed at revolutionising the grain industry’s data infrastructure through cutting-edge data curation, fusion, and real-world analytics.
In this role, you’ll be at the forefront of innovation—developing advanced analytical tools that support crop monitoring, forecasting, and Agri-data systems. You’ll build your research profile in multimodal data organisation, remote sensing, and real-world data analytics, while making a tangible impact on agricultural practices and outcomes. Are you ready to help us create change?
Key responsibilities will include:
- Research: Produce high-quality research outputs relevant to multimodal data organisation and fusion, real-world data analytics, and agricultural informatics, establish a research program and an emerging research profile aligned with real-world Agri-data analytics and visualisation, collaborate on research projects, seek and manage research funding, publish in reputable journals, utilize best practice research methodologies in dataset curation,
annotation, and multimodal data analytics model development in dataset curation, annotation, and multimodal data analytics model development, and participate in project discussions.
- Supervision and Researcher Development: Supervise students, recruit and manage employees, provide performance feedback and training, resolve conflicts, and ensure correct remuneration and benefits.
- Citizenship and Service: Develop partnerships, demonstrate leadership through mentoring, engage in internal service roles and committees, perform administrative functions, provide support to colleagues, and uphold university values.
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, and genuine career progression opportunities via the academic promotions process.
About You
- Completion or near completion of a PhD in Computer Science, Data Analytics, Remote Sensing, or a related field.
- An emerging research profile with demonstrated ability to publish in high-quality venues.
- Demonstrated expertise in applying data organisation and analytics skills to real-world challenges.
- Experience in curating or working with large-scale annotated datasets, ideally involving satellite or UAV imagery and multimodal agricultural data.
- Experience in scalable data visualisation and dashboard development, supporting real-time, concurrent multi-user access
- Experience working on interdisciplinary projects to ensure the timely completion of milestones
- Experience in handling real-world environmental and agricultural data, such as longitudinal analysis (desirable)
- Evidence of contributions to successful external research funding applications (desirable)
- Experience in internal service roles and/or engagement with industry or research end users (desirable)
The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, education check.
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 Helen Huang [email protected] or Dr Xin Yu [email protected].
For application inquiries, please reach out to the Talent Acquisition team at [email protected], 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:
- 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.
If you require an alternative method to submit your application due to accessibility needs or personal circumstances, please contact [email protected].
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 Thursday 7 August 2025 at 11.00pm AEST (R-53814). Please note that interviews have been tentatively scheduled for the week commencing Monday 11 August.
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