Senior Lecturer in Data Science

• Full time, ongoing position at Academic Level C.
• Parramatta South Campus with flexible work options.
• Salary: $150,081 – $172,392 per annum, plus 17% Super and Leave Loading.

Shape the future of teaching and emerging research in Data Science.

The Opportunity

Western Sydney University is seeking a Senior Lecturer in Data Science, with experience in applied AI across robotics or intelligent systems, to contribute to the growth of teaching and research within the School of Computer, Data and Mathematical Sciences. This role plays a central part in curriculum delivery, course innovation, and supporting student success across undergraduate, postgraduate and higher degree research programs.

You will design and deliver high quality learning experiences that apply a range of pedagogical approaches and technologies. Working closely with colleagues across the discipline, you will develop engaging learning activities, coordinate subjects, ensure academic quality assurance, and provide tailored support to students. You will also contribute to course development and broader school initiatives that strengthen disciplinary excellence.

In addition to teaching, you will undertake independent and collaborative research aligned to the School’s strength in data science, machine learning and health-focused AI. You will also take a leading role in our robotics activity, spanning cross-faculty collaboration, physical AI platforms, and our student robotics community. You will create scholarly impact, contribute to competitive grant applications, supervise HDR candidates, and help nurture future academic talent. This position also includes contributions to school governance, engagement with industry and sector partners, and participation in committees that support the School and Faculty.

What Success Looks Like:

• Deliver high quality lectures, assessments and student support consistent with WSU policy.
• Develop innovative learning activities and provide effective assessment and feedback.
• Undertake impactful individual and collaborative research with recognised disciplinary contributions.
• Lead and contribute to subject coordination, ensuring strong academic quality assurance.
• Supervise HDR students and support development of emerging researchers.

Please refer to the Position Description for full details.

About You

• A PhD in Computer Science, Data Science, Engineering or a related field.
• Demonstrated record of high-quality, high-impact research and capacity for research leadership.
• Proven ability to design, deliver and improve teaching at undergraduate and postgraduate levels.
• Experience using educational technologies and online delivery methods.
• Strong capacity to collaborate across disciplines, build professional relationships, and engage with industry partners.

Benefits

We invest in the people who make our mission possible. Alongside a rewarding career, we offer a range of benefits designed to support your financial, personal and family wellbeing.

• Financial benefits: Access to staff-only products and offers with selected banking partners, salary sacrifice options for onsite parking, and novated motor vehicle leasing.
• Health and wellbeing support: Free Employee Assistance Program (EAP), complimentary annual flu vaccination, eligibility for Fitness Passport membership, and access to discounted private health cover.
• Onsite childcare: Long day care and early learning services operate at our Campbelltown, Hawkesbury, Parramatta, and Penrith campuses. Staff may be eligible for discounted fees and salary packaging, with places subject to centre capacity.

Application Details

• Position Enquiries: Direct to Rosalind Wang, Head of Department, AI and Data Science, via Rosalind.wang@westernsydney.edu.au. Please include the job reference code REF1193G.
• Closing Date: 11:59pm, Tuesday 19 May 2026.
• Working Rights: You must provide evidence of full-time working rights in Australia at application.
• How to Apply: Please note that only applications submitted via the University’s online recruitment system will be considered. As part of your online application, you will be asked to respond to screening questions addressing the key qualifications, experiences and skills required for this position.