AI Research Fellow/Senior Research Fellow and Platform Architect

School of Electrical Engineering and Computer Science Full-time (100%), fixed-term position for up to 3 years Base salary will be in the range $114,824.05 - $136,048.72 + 17% Superannuation (Academic Level B) Base salary will be in the range $140,293.64 - $161,518.33 + 17% Superannuation (Academic Level C) Based at our St Lucia Campus About This Opportunity This is an exciting opportunity for a Research Fellow (Level B) or Senior Research Fellow (Level C) to join the Queensland Digital Health Centre and contribute to the NASCENT program—Australia’s national infrastructure for real-time clinical AI trials. In this role, you will lead the design, development, and deployment of a real-time clinical AI evaluation platform across Australia, while building your research profile in machine learning with transformative healthcare applications. At UQ, you’ll work in a collaborative, high-achieving environment that values innovation and professional growth, offering opportunities to advance your career and embrace new challenges. Key responsibilities will include: Research: Infrastructure Design & Implementation: Lead architecture, development, testing, and support of a vendor-sourced platform for real-time clinical AI evaluation. Develop code framework, proof of concept (MIMIC database), integrate with EMR-connected solution, and support NASCENT rollout at Townsville University Hospital and other sites. Research & Publication: Deliver high-quality research aligned with NASCENT, publish in leading outlets (e.g., AMIA, JAMIA, MedInfo), support AI use cases (sepsis, deterioration prediction), establish broader research program, secure funding, and apply best-practice methodologies. Independent & Collaborative Research: Conduct impactful research influencing policy, practice, and/or commercialisation, achieving national and emerging international recognition. Strategic Collaboration: Initiate and coordinate collaborative projects across UQ on national and international levels. Methodology Excellence: Apply and promote best-practice research methodologies. Teaching: Where undergraduate and postgraduate teaching is undertaken achieve teaching quality as indicated by approved surveys and outcomes for students and improve or innovate where appropriate in response to feedback. Supervision and Researcher Development: Supervise students and research assistants to work on NASCENT use cases, 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 . For further information, please click here to view the information booklet . 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 Academic Level B: Completion of a PhD in the field of Computer Science/Artificial Intelligence. Software engineering expertise, including design and implementation of AI-based models (machine learning, deep learning, natural language programming, Large Language Models) and infrastructure platforms, wrangling large-scale datasets, and use of standard scientific software languages and tools including at least python, git, SQL, R. Demonstrated Healthcare data domain knowledge, in particular data engineering with Electronic Medical Record, OMOP and MIMIC databases Demonstrated expert knowledge and experience in relevant empirical research methods, including clinical AI evaluation, benchmark dataset creation, and time-series data Excellent written and verbal communication skills, as demonstrated by e.g., invited talks/seminars and lectures, presentations at conferences, and communication to non-technical audiences. Demonstrated publication record in quality research outlets in relevant fields; The ability to work both independently in a research environment and as part of a research team. High-level organisational skills, with demonstrated capacity to establish and achieve goals. Experience in supervising or working together with research students (e.g., PhD, MPhil, Honours). Ability to build smooth liaisons and professional contacts with academic and industrial collaborators. The ability to work as part of a high-achieving, cross-disciplinary research team. In addition to Academic Level B above, Academic Level C includes: An established profile in research in the discipline area. National recognition in the area of expertise, with an internationally developing profile and an established record of publications in reputed refereed journal and presenting at conferences. A strong record of successfully seeking, obtaining and managing external research funding. A solid record of supervision of Honours and Research Higher Degree students to successful completion. A growing record of meaningful internal service roles in conjunction with a strong contribution to external activities. 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 Guido Zuccon . For application inquiries, please reach out to the Talent Acquisition team at , 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 . 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 Monday 1 December 2025 at 11.00pm AEST (R-57141). #J-18808-Ljbffr