Postdoctoral Research Fellow in Human-centered AI Full-time

Postdoctoral Research Fellow/Research Officer in Human-Centered AI

Join Professor Tim Miller's team at The University of Queensland. This is a hands-on opportunity to shape the future of decision support tools that balance human control with scalable artificial intelligence (AI) solutions.

You'll work on cutting-edge projects—designing, implementing, and evaluating AI-driven decision support systems in clinical settings, and running behavioral experiments and field studies to measure their impact. You'll also contribute to research, student supervision, and have the chance to build your teaching portfolio. This role requires regular on-site presence in Brisbane (e.g. weekly), so remote appointments are unlikely to be supported. If you have any questions or would like to discuss your circumstances, please reach out to Tim at timothy.miller@uq.edu.au.

Led by Professor Tim Miller, TIET-UQ Chair of Data Science and a renowned expert in Artificial Intelligence at The University of Queensland, this newly established lab is on a mission to empower expert decision-makers by harnessing the power of AI to tackle complex challenges. With a strong emphasis on real-world impact, human-centered design, and a culture of collaboration, respect, and personal wellbeing, the lab offers a unique opportunity to shape the future of AI in meaningful ways. This position invites you to collaborate with Tim to create the vision and direction of this exciting laboratory.

Key responsibilities will include:

• Research: Produce quality and impactful research in the area of human-centered AI. Publish outputs in high quality outlets, such as AAAI, IJCAI, NeurIPs, CVPR, EMNLP, CHI, CSCW, FAccT, or similar. Establish a research program in the area of human-centered decision support using artificial intelligence, collaborate on research projects, seek and manage research funding, utilize best practice research methodologies, 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.

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 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 human-centered AI or closely related area.

• Evidence of human-centered AI publications in reputed refereed journals and presenting at conferences such as AAAI, IJCAI, NeurIPs, CVPR, EMNLP, CHI, CSCW, FAccT, or similar.

• Experience in conducting human behavioral experiments or human-centered field studies.

• Demonstrated experience in using machine learning, such as deep learning for image processing, or natural language processing/LLMs.

• Demonstrated software engineering/development abilities, and the use of tools for software engineering.

The successful candidate may be required to complete a number of pre-employment checks, including: right to work in Australia, education check.

Relocating from interstate or overseas? We may support you with obtaining employer-sponsored work rights and a relocation support package. You can find out more about life in Australia's Sunshine State here.

For more information about this opportunity, please contact Tim Miller at timothy.miller@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 responding 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 talent@uq.edu.au.

UQ is committed to a fair, equitable and inclusive selection process, which recognizes 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 Saturday 4 October at 11.00pm AEST (R-55345).