Graduate Researcher Academic Associate

Teach and mentor CIS students while building your academic career alongside your graduate research.
Role type: Part-time (0.2–0.3 FTE for full-time graduate researchers); Fixed-term 18–24 months, aligned with candidature
Faculty: Engineering and Information Technology
Department/School: School of Computing and Information Systems
Salary: $88,228 p.a. (pro rata) plus 17% super
Build your academic teaching profile alongside your PhD / Shape CIS student learning at scale / Access 30 hours of certified development
Apply now to combine paid, secure academic work with impactful CIS teaching and structured professional development.
Investing in you – 17% superannuation, benefits package including salary packaging, health and wellbeing programs, discounted services, and professional development opportunities.
The University of Melbourne
We take pride in our people, who all contribute to our mission to benefit society through the transformative impact of education and research. Discover more via our website.
Your next career opportunity
As a Graduate Researcher Academic Associate, you will contribute directly to high-quality teaching in Computing and Information Systems. You will gain practical experience designing, delivering and supporting CIS subjects while completing paid, certified university teaching development.
What you will deliver:
Design and deliver tutorials, workshops, labs and applied sessions using engaging, evidence-based pedagogical approaches.
Support students through consultations, forums, revision sessions and timely responses to queries across assigned subjects.
Contribute to assessment design, marking, feedback and academic integrity processes, including managing exam and assignment workflows.
Administer subject delivery, including Canvas sites, submissions, extensions, remark requests and coordination with casual teaching staff.
Maintain and support educational technologies such as Ed, FeedbackFruits, JupyterHub and Github to enable effective learning experiences.
You may be a great fit if you:
Are currently enrolled in a FEIT graduate research degree with at least 18 months remaining in candidature.
Bring strong disciplinary knowledge in one or more CIS subject clusters, such as programming, artificial intelligence, or cybersecurity.
Demonstrate enthusiasm for university teaching and a commitment to educating, inspiring and supporting diverse student cohorts.
Communicate clearly in written and spoken English, tailoring explanations for students with varied backgrounds and abilities.
Manage your time effectively, balancing research responsibilities with teaching preparation, delivery, assessment and administration.
Engage proactively in your own professional development and uphold the University’s values of respect, safety and inclusion.
For further information please refer to the attached PD.
What we offer you!
We offer the opportunity to be part of a vibrant community and enjoy a comprehensive range of benefits to support your success and sense of fulfilment, including:
Build future financial security with 17% superannuation
Supportive flexible work arrangements underpinned by our commitment to inclusion and well-being
Career development opportunities, including access to a range of tailored programs, such as Academic Women in Leadership, and learning platforms including LinkedIn Learning
Progressive, considerate leave provisions to empower your work-life balance and well-being, including leading parental leave, gender affirmation leave, cultural leave, and menstruation and menopause leave.
Salary packaging and access to a range of discounted services including Bupa health insurance, and access to unique cultural and recreational benefits such as discounts for the Melbourne Theatre Company
Health and well-being services including a leading Employee Assistance Program
For more information check out our benefits page!
Your new team
You will join the School of Computing and Information Systems, Australia’s top-ranked computing school, within the Faculty of Engineering and Information Technology. The School delivers world-class teaching and research across computer science, software engineering, information systems and human-computer interaction, with strong partnerships across industry and leading research centres. You will work alongside passionate educators and researchers, contribute to innovative CIS curricula, and help deliver an outstanding learning experience for a large, diverse student community.
Be Yourself
The University of Melbourne is an Equal Opportunity Employer and a child-safe organisation. The diversity of our community enriches us all, and we are committed to creating an inclusive and fair workplace where everyone is valued, respected, and empowered to succeed. We welcome applicants from all backgrounds, identities, and experiences. Discover more about Diversity and Inclusion at UniMelb.
We're committed to a barrier-free recruitment process and ongoing workplace support, providing adjustments throughout. We warmly encourage applications from people with disabilities. Learn more about how we support an accessible recruitment process.
Aboriginal and Torres Strait Islander Applicants
We aspire to be the University of choice for Indigenous Australians. Visit our Indigenous staff page to learn more about our investment and support for Aboriginal and Torres Strait Islander staff.
Indigenous applicants are encouraged to connect with our Indigenous Employment & Development team at korin-korin@unimelb.edu.au.
Application essentials:
Visit "apply with us" to learn more about the process, including tips and FAQs.
You must have current valid work rights for Australia. Visa sponsorship is not available for this role.
A Working with Children Check is required for all positions. If successful, we will guide you through the process and reimburse you.
Please upload your resume and a cover letter outlining your interest and experience as part of the application process.
Please upload your responses to the below Key Selection Criteria questions. Learn more about responding to Selection Criteria. The below criteria should be a maximum of 3 pages.
Demonstrated knowledge and technical capability in computing, with strong foundations in programming and demonstrated expertise in at least one relevant area such as artificial intelligence, cyber security, software engineering, information systems or related fields. Candidates should be able to apply their knowledge to practical problems and engage with the technologies, tools and programming environments used in teaching.
Demonstrated ability, or strong potential, to teach and explain technical concepts clearly to students with different levels of experience, including supporting students in practical classes, troubleshooting code or technical problems, and helping students develop conceptual understanding rather than simply providing solutions.
Demonstrated practical capability in developing, testing and supporting computing learning activities and infrastructure, which may include programming exercises, assessment tasks, sample solutions, automated testing or marking, version control, notebooks, virtual environments, learning platforms or other discipline relevant technologies.
Demonstrated capacity to support high quality and equitable assessment and feedback, including applying marking criteria consistently, providing constructive feedback, identifying common student misconceptions, and supporting appropriate academic integrity practices in contemporary computing education, including where generative AI may be relevant.
Demonstrated ability to work collaboratively, reliably and inclusively within a teaching team, including communicating effectively with students and colleagues, managing competing responsibilities and deadlines, responding constructively to emerging teaching issues, and contributing to the ongoing improvement of subjects and the student learning experience.
Want to know more?
For queries related to this specific position, contact Eduardo Oliveira
at eduardo.olive