Faculty of Engineering, Architecture and Information Technology / School of Electrical Engineering and Computer Science Full-time permanent position Based at our St Lucia Campus Base salary will be in the range $119,462.94 - $141,545.09 + 17% super (Academic Level B); or $145,961.51 - $168,043.68 + 17% super (Academic Level C) About This Opportunity The School of Electrical Engineering and Computer Science is seeking a visionary and collaborative academic to strengthen its systems capability at the intersection of database systems, data engineering and artificial intelligence. As a Lecturer or Senior Lecturer in Data Systems and Engineering, you will help establish data systems engineering as a strategic research strength within the Data Science discipline. Working in an inclusive, interdisciplinary environment, you will advance end-to-end data engineering for modern Data × AI workloads and translate analytical and AI capability into robust, scalable and externally deployable infrastructure.

Key responsibilities will include

- Research: Develop and sustain an internationally recognised research program in data engineering, data systems, and mission-driven Data × AI, producing high-quality publications, competitive research funding, deployable systems, and impactful interdisciplinary research outcomes.
- Teaching: Deliver high‑quality teaching across undergraduate and postgraduate programs through course coordination, innovative curriculum design, student supervision, assessment, and the development of contemporary courses aligned with emerging areas such as data engineering, AI‑ready data infrastructure, and data agent systems.
- Supervision and Researcher Development: Supervise Honours, Masters and Higher Degree by Research students, support their research training and career development, and grow data systems engineering capability through mentoring and collaborative project development.
- Citizenship and Service: Develop purposeful partnerships with industry, government, universities, professional bodies and the broader community, contribute to academic leadership and collegial service, and uphold UQ’s values in everything you do. In addition to the responsibilities above, Academic LevelC will be expected to:
- Demonstrate academic leadership through sustained success in supervising Higher Degree by Research students, leading collaborative research programs, and mentoring early‑career researchers.
- Secure and manage competitive external research funding as a Chief Investigator, while leading high‑impact research outputs and strategic national and international collaborations.
- Lead the development and enhancement of academic programs, including course coordination, curriculum innovation, and the delivery of contemporary, industry‑relevant education.
- Strengthen the School's profile through leadership, industry engagement, partnerships, and the translation and commercialisation of research outcomes.

About You

Essential - A PhD in Computer Science, Data Science, Software Engineering, or a closely related discipline.

- Demonstrated research expertise in data engineering, database systems, AI for data systems, or large‑scale data infrastructure, with an emerging national or international research profile appropriate to career stage.
- Expertise in one or more areas such as scalable query processing, database internals, indexing and storage systems, semantic query processing, AI‑enhanced data processing, multimodal data management, or deployable data infrastructure.




- A strong publication record in leading peer‑reviewed venues relevant to data systems and databases (e.g. SIGMOD, VLDB, CIDR), with relevant systems conferences (e.g. OSDI, NSDI, SOSP) also recognised.
- Demonstrated ability to design, implement, and evaluate complex data‑intensive systems, with a track record of translating research into deployable prototypes, open‑source software, or externally adopted technical artefacts that deliver real‑world impact.
- Demonstrated ability or robust potential to secure competitive research funding, contribute to collaborative and interdisciplinary research, and build partnerships with industry or other external stakeholders.
- Demonstrated ability or strong potential to deliver high‑quality teaching and supervision at undergraduate and postgraduate levels, including curriculum development in data engineering, data systems, or related areas.
- Experience in database platforms, systems software, or data infrastructure development using languages such as C/C++, Java, Rust, Go, or Python.
- Excellent communication, interpersonal, organisational, and collaboration skills, with the ability to contribute effectively within multidisciplinary teams and support the growth of data engineering capability through teaching, supervision, and research leadership.

Strategic Fit

This position supports the School's strategic vision to strengthen its end‑to‑end Data × AI capability by establishing internationally recognised expertise in data engineering and data systems. The successful candidate will complement existing strengths in artificial intelligence, analytics, information retrieval, and domain‑focused data science by developing scalable, AI‑ready data infrastructure and deployable systems that enable impactful interdisciplinary research and real‑world industry engagement. In addition to the essential criteria above, candidates at Academic LevelC should demonstrate:

- An established national or international research reputation, evidenced by sustained high‑quality publications, successful competitive research funding, and leadership of collaborative research programs.
- A strong record of principal supervision of Higher Degree by Research students and demonstrated academic leadership in researcher development.
- Evidence of leading curriculum development, course coordination, and teaching innovation.
- Demonstrated success in developing strategic industry and research partnerships, translating research into impact, and contributing to the leadership and service activities of an academic unit. 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. 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:

Being part of a Group of Eight university, Recognition of prior service with other Australian universities,



Up to 26 weeks of paid parental leave, 17.5% annual leave loading, Access to exclusive internal‑only vacancies, Genuine career progression opportunities via the academic promotions process, Generous leave provisions, 17% superannuation, Flexible working arrangements, Health and wellness discounts. We’re dedicated to equity, diversity, and inclusion. We recognise that career pathways and opportunities differ, and encourage applications from candidates who may not meet every criteria but can demonstrate their potential relative to opportunity.

We’re also happy to support any accessibility needs throughout the recruitment process. We pay our respects to the Traditional Owners and their custodianship of the lands on which UQ is situated. We acknowledge the Traditional Owners and their custodianship of the lands on which UQ is situated.

We pay our respects to their Ancestors and their descendants, who continue cultural and spiritual connections to Country. At the University of Queensland, we are proud to be one of Australia’s leading research and teaching institutions, consistently ranking among the top 50 universities worldwide. As a member of the prestigious Group of Eight (Go8) universities, UQ is widely recognised for its intensive focus on research and teaching excellence – evidenced by our numerous accolades including more teaching awards than any other Australian University and reflected in UQ being the number one recipient of ARC Fellowships and Awards nationally across all scheme years (totalling 452 awards worth $339 million).

Our state‑of‑the‑art facilities, libraries, and cutting‑edge research centres offer unparalleled opportunities for academic and professional growth. With five faculties, a number of globally recognised research institutes, and over 100 research centres, we attract an interdisciplinary community of more than 7000 staff, supporting more than 55,000 current students from over 137 countries. UQ is dedicated to supporting the career aspirations of our students and staff.

Our comprehensive career services provide personalized guidance, skills development, and networking opportunities to help you achieve your professional goals. Whether you are a student seeking internships and job placements or a staff member looking for career advancement, UQ is here to support you every step of the way. UQ values equity, diversity and inclusion and seeks to reflect the broader community by attracting and retaining high‑quality staff from a range of backgrounds.

Our commitment to equity, diversity, and inclusion aims to ensure that everyone at UQ feels valued and empowered to achieve their full potential. We are particularly interested to hear from people who bring diversity to UQ – whether that be gender identity, LGBTQIA+, cultural and/or linguistic, Aboriginal and/or Torres Strait Islander peoples, or people with a disability. Whether you are a recent graduate, an Academic, or an experienced professional, UQ offers a wide range of opportunities to help you grow and succeed.

Explore our current job openings, discover our programs, and become part of a community that is dedicated to creating lasting, meaningful impact for the communities in which we live and work. For more information about working at UQ and our employee benefits (such as generous leave provisions, 17% superannuation, flexible working arrangements, and health and wellness discounts) please visit Why Work at UQ.

Applications Close

Applications close Sunday 6 September 2026 at 11.00pm AEST (R-67067).

📌 Lecturer/Senior Lecturer in Data Systems and Engineering (Australia)
🏢 University Of Queensland
📍 Australia