Job Description

• School of Electrical Engineering and Computer Science

• Part-time (50%), fixed-term position for up to 3 years

• Base salary will be in the range $80,448.78 - $107,104.10 + 17% Superannuation (Academic Level A)

• Based at our

  View Orignal JOB on: postdocjobs.site
  St Lucia Campus

About This Opportunity 

This is an exciting opportunity for a highly motivated and skilled Postdoctoral Research Fellow to join our team in the field of Affective Computing within the School of Electrical Engineering and Computer Science (EECS) at The University of Queensland (UQ). The successful candidate will work on cutting-edge research at the intersection of artificial intelligence, Human-Computer Interaction, and human-centred computing. The position focuses on developing and evaluating computational models for recognizing, interpreting, and measuring human emotions using multimodal data sources, such as physiological and neurological signals, and behavioural patterns. At this level, it is expected that the successful candidate will contribute to service and engagement roles and activities. There may also be opportunities for the successful candidate to engage in teaching activities.

Key responsibilities will include: 

• Research: Conduct high-quality research by publishing in high quality outlets, participate in applications for competitive funding, develop an emerging research profile, apply best-practice methodologies, and work within a cross-disciplinary team of researchers and students to achieve the objectives of the research.

• Supervision and Researcher Development: Contribute to the effective supervision of Honours and Higher Degree by Research students (as appropriate), demonstrate personal effectiveness in managing researcher development. Lead and develop supervisees by providing feedback, coaching, and professional development. Manage research support staff in accordance with university policies and promptly address conflicts or grievances following university procedures.

• Citizenship and Service: Demonstrate UQ values through collaborative leadership, active participation in unit priorities, support for colleagues, contribution to internal service and governance, and the development of external partnerships with industry and the broader community.

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 the discipline area (e.g. Computer Science, Human-Computer Interaction, Affective Computing, or a related field)

• An emerging research profile in the discipline area

• Evidence of publications in reputed refereed journals and conferences (e.g. ACM/IEEE Transactions)

• Excellent analytical and problem-solving skills, as well as attention to detail and record-keeping skills

• Ability to work effectively both independently and collaboratively with colleagues from multidisciplinary disciplines

• Excellent time management and planning skills, with a commitment to delivery

• Strong background in machine learning and/or deep learning, and signal processing

• Experience in conducting research projects, demonstrating high-level written and oral communication skills. 

Desirable

• Evidence of contributions towards successfully obtaining external research funding.

• Some experience in meaningful internal service roles and contributions towards external activities

• Experience in multimodal data collection and analysis (e.g. physiological sensors)

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 Associate Professor Chelsea Dobbins (c.m.dobbins@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? 

All applicants must upload the following documents in order for your application to be considered:

• Resume

• Cover letter

• Responses to the ‘About You’ section

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.

We know one of our strengths 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. Reach out to talent@uq.edu.au for accessibility support or adjustments.

Applications close Thursday 17 April 2025 at 11.00pm AEST (R-49049).