Research Fellow in Electrical Engineering (University of Queensland)

School of Electrical Engineering and Computer Science ARC Training Centre for Information Resilience (CIRES) Employment Type: Full-time (100%), fixed-term position through to September 2027 Academic Level: Level A Base Salary: $83,698.91 – $111,431.10 + 17% Superannuation Location: St Lucia Campus About This Opportunity Join us as a Postdoctoral Research Fellow/Research Officer and contribute to cutting-edge research on AI preparedness and the evaluation of AI deployments across public and private sectors. You’ll develop frameworks to assess organisational and data barriers to AI adoption, evaluate implementation outcomes, and analyse the impact of emerging AI policies, standards, and governance guidelines. This role is mainly based at the ARC Industrial Transformation Training Centre for Information Resilience (CIRES) at The University of Queensland, working closely with leading experts and industry partners. You’ll be supported by senior academics with opportunities for increasing autonomy over time. Key Responsibilities Research Lead and execute high-quality, independent research projects related to AI preparedness, and evaluation with a particular focus on standards, assurance, risk management, and compliance. Collaborate with industry and government professionals to ensure the practical relevance of developed approaches and validate their performance. Participate in regular meetings to discuss project objectives, progress and outcomes. Disseminate research findings through high-quality publications in top-tier journals and conferences in the fields of information systems, data management and artificial intelligence. Create practical research translation artefacts and training for wider adoption in industry and government. Participate in the development of open-source tools and frameworks to support the wider research community. Contribute to the preparation and submission of research grant proposals to secure future funding. Supervision and Researcher Development Supervise Honours and Higher Degree by Research students (as appropriate). Supervise and manage researcher development, 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, 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 Computer Science, Data Science, Information Systems or a related field. Demonstrated expertise in empirical methods, proficiency in data analysis, and deep knowledge of contemporary AI tools and techniques. Experience in conducting research projects, demonstrating high-level written and oral communication skills. Peer-reviewed publications in high-impact journals or premiere conferences. Ability to work both independently and as a member of a cross-disciplinary research team. 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 Shazia Sadiq – s.sadiq@uq.edu.au Professor Marta Indulska – m.indulska@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: 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. 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: Sunday 1 February 2026 at 11:00 pm AEST Job Reference: R-59030 Please note that interviews have been tentatively scheduled for mid February. If you apply for this position please say you saw it on Computeroxy

School of Electrical Engineering and Computer Science
ARC Training Centre for Information Resilience (CIRES)

Employment Type: Full-time (100%), fixed-term position through to September 2027
Academic Level: Level A
Base Salary: $83,698.91 – $111,431.10 + 17% Superannuation
Location: St Lucia Campus

About This Opportunity

Join us as a Postdoctoral Research Fellow/Research Officer and contribute to cutting-edge research on AI preparedness and the evaluation of AI deployments across public and private sectors. You’ll develop frameworks to assess organisational and data barriers to AI adoption, evaluate implementation outcomes, and analyse the impact of emerging AI policies, standards, and governance guidelines.

This role is mainly based at the ARC Industrial Transformation Training Centre for Information Resilience (CIRES) at The University of Queensland, working closely with leading experts and industry partners. You’ll be supported by senior academics with opportunities for increasing autonomy over time.

Key Responsibilities

Research

Lead and execute high-quality, independent research projects related to AI preparedness, and evaluation with a particular focus on standards, assurance, risk management, and compliance.
Collaborate with industry and government professionals to ensure the practical relevance of developed approaches and validate their performance.
Participate in regular meetings to discuss project objectives, progress and outcomes.
Disseminate research findings through high-quality publications in top-tier journals and conferences in the fields of information systems, data management and artificial intelligence.
Create practical research translation artefacts and training for wider adoption in industry and government.
Participate in the development of open-source tools and frameworks to support the wider research community.
Contribute to the preparation and submission of research grant proposals to secure future funding.

Supervision and Researcher Development

Supervise Honours and Higher Degree by Research students (as appropriate).
Supervise and manage researcher development, 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, 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 Computer Science, Data Science, Information Systems or a related field.
Demonstrated expertise in empirical methods, proficiency in data analysis, and deep knowledge of contemporary AI tools and techniques.
Experience in conducting research projects, demonstrating high-level written and oral communication skills.
Peer-reviewed publications in high-impact journals or premiere conferences.
Ability to work both independently and as a member of a cross-disciplinary research team.

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 Shazia Sadiq – s.sadiq@uq.edu.au
Professor Marta Indulska – m.indulska@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:

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.

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: Sunday 1 February 2026 at 11:00 pm AEST
Job Reference: R-59030

Please note that interviews have been tentatively scheduled for mid February.

If you apply for this position please say you saw it on Computeroxy

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