This is a full-time (36.75 hours per week), two-year fixed-term position, classified at Academic Level B ($109,392 – $129,902) or Academic Level C ($134,005 – $154,514) per annum, plus 17% employer superannuation.

Join the University of Opportunity

50% teaching and 50% research/service, with the option to secure additional research time through a VU Research Fellowship

Located at the Footscray Park or City Tower campus

About Us:

At Victoria University, our aim is to be a global leader in dual-sector learning and research by 2028. Join us on the journey and help us achieve our strategic drives embedded in our Strategic Plan 2022-2028: Start well, finish brilliantly. One of the drivers “Thriving place to Study and Work” will enable us to continue to create places that our students and staff love to belong and feel immense pride.

About the Role (Senior Lecturer Level C)

You will be a leader in IT course modernisation in broad integration with GenAI transformation, guiding staff and students as we embed large-language-model (LLM) capability across courses, and in our strategic research focus on LLM applied research to create impact in the industry. The normal load is 50 % teaching, 50 % research and service, with the option to negotiate extra research time via a VU Fellowship.

Teach & coordinate multiple units onshore and at trans-national sites (Sydney, Brisbane, Sri Lanka, China) and ensure academic equivalence.

Modernise curricula by redesigning units in software development, networks, data science and cyber-security to include GenAI content, authentic assessment and micro-credentials.

Drive research & grants in applied LLMs, publish in Q1/CORE A* venues, and turn results into demonstrator systems.

Supervise & mentor Master’s and PhD candidates and support early-career academics.

Engage industry by chairing the Program’s Industry Advisory Group and brokering joint labs, consultancy and executive-education offerings.

About You

You are an emerging academic with a passion for GenAI-driven innovation and a record of high-quality research in IT.

PhD (or equivalent) in IT, Data Science, AI or a closely related field.

Research standing: a strong track record of Q1/CORE A* outputs as the first author and success as lead or co-lead investigator on competitive or industry-funded projects.

GenAI expertise – excellent experience with LLM APIs, Retrieval-Augmented Generation and prompt engineering, plus the ability to weave these tools into teaching and research.

Teaching excellence: high student-satisfaction scores and experience coordinating HE courses.

HDR supervision: record of guiding honours/Master’s/PhD students to completion.

Industry translation: ability to convert research into innovative solutions that solve real-world problems for industry.

People & culture: outstanding communication, cross-cultural sensitivity and alignment with VU values of Access, Excellence and Respect.

What We Offer:

For information on our employee benefits, flexible working, discounts in private health insurance and gym memberships and salary packaging please visit https://www.vu.edu.au/staff/benefits-services-for-staff

How to apply:

For a copy of the Position Description, please visit our Careers Website.

Your application must be submitted as a single PDF document and include the following:

A cover letter

Your Curriculum Vitae (CV) or resume

Responses to the Key Selection Criteria outlined in the Position Description

A list of units (subjects) from current IT courses (see the VU course site), categorised as:
- Subjects you are able to teach
- Subjects you have taught and have particular experience in
- Subjects you are capable of developing

Your two most significant research publications

A sample program demonstrating the application of LLMs (include a link to a working system or demonstration video, e.g. on YouTube)

Recent teaching feedback (e.g., student or peer evaluations)

Please do not include additional documents such as certificates. Name your application document using your full name.

Applications close: 11:59pm (AEST), Sunday 15 June 2025

Who Do You Contact?

For further information or clarification regarding the selection criteria or the position, please contact the Head of IT Program, Professor Yuan Miao at [email protected] and Acting Head of IT Program, Dr. Assefa Teshome at [email protected] .

Our Commitment to Protecting Country:

Victoria University honours its deep diversity as a foundation for collaboration and social progress. We will demonstrate sensitivity in respecting First Nation perspectives. We will ensure that we respect our Indigenous voices and commit to sustainable Protecting Country. We will take leadership responsibility, in all that we do, to improve the health and wellbeing of our local and global communities, and the planet that we share.

Our Commitment to Diversity and Inclusion at VU

The University encourages applications from women, gender diverse, Aboriginal and Torres Strait Islander people and individuals from under-represented backgrounds in this field. The University believes that diversity of the workforce adds value to the University and creates a stronger, richer working environment for everyone. The University is committed to making reasonable adjustments to provide a positive, barrier-free recruitment process for candidates with particular access needs. Candidates who require adjustments are encouraged to contact the designated person in this advert to discuss their needs.