<!-- ko if: isJobTitleVisible --> Lecturer IT (TNE TRA Data Science) <!-- /ko --> <!-- ko if: isAlreadyAppliedVisible --><!-- /ko -->
Job Info
- Job Identification 15847
- Job Category Academic (teaching and research)
- Posting Date 05/15/2025, 08:18 PM
- Locations Footscray Park
- Apply Before 06/15/2025, 09:59 AM
- Degree Level Doctorate Degree
Job Description
This is a full-time (36.75 hours per week), two-year fixed-term position, classified at Academic Level B ($109,392 – $129,902) 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
As a Level B Lecturer in Information Technology Program (School) you will drive the Program’s ongoing course-modernisation agenda, embedding GenAI and large language models (LLMs) across teaching, research and industry engagement. Your workload is split 50 per cent teaching and 50 per cent research/service, with scope to secure an additional research allowance through a VU Research Fellowship.
- Teaching & coordination – Deliver and coordinate multiple units onshore and at trans-national education (TNE) locations (Sydney, Brisbane, Sri Lanka and China), with an emphasis on areas of current staff shortage.
- Curriculum renewal – Convert existing units in software development, network management, data science and cybersecurity into GenAI-integrated offerings; design sample capstone and thesis projects that showcase LLM applications.
- Research & innovation – Pursue an applied-LLM research program leading to Q1/CORE A* publications and demonstrable systems displayed in IT laboratories and online.
- Industry & community engagement – Build partnerships that translate research into real-world solutions and attract new students.
- Academic service – Contribute to grant applications, collegial governance and a safe, inclusive learning environment.
About You
You are an emerging academic with a passion for GenAI-driven innovation and a record of high-quality research in data science, cybersecurity or natural-language processing.
- Qualifications – PhD (or equivalent) in IT, Data Science, AI or a related field.
- GenAI expertise – Hands-on experience with LLM APIs, Retrieval-Augmented Generation and prompt engineering, plus the ability to weave these tools into teaching and research.
- Research record – Minimum three first/corresponding-author Q1 papers in the past three years, or two first-author CORE A* papers in the past two.
- Curriculum leadership – Demonstrated success in redeveloping units and supervising high-distinction-level theses or capstone projects that exploit cutting-edge AI.
- Teaching versatility – Capacity to teach across a broad IT portfolio, including mobile or cloud app development, security operations, digital forensics, data visualisation and ICT management.
- Technical strength – Strong programming skills and a track record of building showcase systems that solve real-world problems.
- Collegial communicator – Excellent interpersonal skills, cross-cultural sensitivity and a commitment to VU’s values of Access, Excellence and Respect, underpinned by the behaviours of Engagement, Collegiality and Courage.
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 Position Description click HERE .
Your application must be submitted as a single PDF document and include the following:
- Subjects you are able to teach
- Subjects you have taught and have particular experience in
- Subjects you are capable of developing
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 yuan.miao@vu.edu.au and Acting Head of IT Program, Dr. Assefa Teshome at assefa.teshome@vu.edu.au .
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
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