Lecturer IT (TNE TRA Data Science)
Lecturer IT (TNE TRA Data Science)
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Job Description
This is a fulltime (36.75 hours per week) twoyear fixedterm position classified at Academic Level B ($109392 $129902) 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 dualsector learning and research by 2028. Join us on the journey and help us achieve our strategic drives embedded in ourStrategic Plan: Start well finish 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 TechnologyProgram (School)you will drive the Programs ongoing coursemodernisation 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 transnational 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 GenAIintegrated offerings; design sample capstone and thesis projects that showcase LLM applications.
- Research & innovation Pursue an appliedLLM 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 realworld 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 GenAIdriven innovation and a record of highquality research in data science cybersecurity or naturallanguage processing.
- Qualifications PhD (or equivalent) in IT Data Science AI or a related field.
- GenAI expertise Handson experience with LLM APIs RetrievalAugmented Generation and prompt engineering plus the ability to weave these tools into teaching and research.
- Research record Minimum three first/correspondingauthor Q1 papers in the past three years or two firstauthor CORE A* papers in the past two.
- Curriculum leadership Demonstrated success in redeveloping units and supervising highdistinctionlevel theses or capstone projects that exploit cuttingedge 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 realworld problems.
- Collegial communicator Excellent interpersonal skills crosscultural sensitivity and a commitment to VUs 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 to apply:
For a copy of Position Description click HERE.
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 atand Acting Head of IT Program Dr. Assefa Teshome at.
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 underrepresented backgrounds in thisfield. 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 barrierfree 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
Employment Type
Full Time
