Lecturer/Senior Lecturer in Data Systems and Engineering
$119,463–$141,545 year
On-siteSaint Lucia, State of Queensland, Commonwealth of Australia
Job Summary
Conduct end-to-end data engineering for modern Data × AI workloads by developing internationally recognized research programs in data systems and securing competitive external research funding. Deliver high-quality teaching across undergraduate and postgraduate levels through course coordination, innovative curriculum design, and student supervision in areas such as data agent systems and AI-ready data infrastructure. Supervise Honours, Masters, and Higher Degree by Research students while mentoring early career researchers and growing data systems engineering capability through collaborative project development.
Required Qualifications
- 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
- 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
- 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 strong potential to secure competitive research funding
- Demonstrated ability or strong potential to contribute to collaborative and interdisciplinary research
- Demonstrated ability or strong potential to 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
- 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
- The ability to contribute effectively within multidisciplinary teams
- Verification of the right to work in Australia
- Qualification checks
Desired Qualifications
- 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
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