Technology Jobs in Parkville, Australia (Now Hiring) — 6 open

Role type: Full time, fixed term for 2 years
Faculty: Faculty of Business and Economics
Salary: Level B/1 - $124,656 - $148,023 p.a. plus 17% super

• World-class decision science research environment / bridge lab insights with deployed digital platforms / interdisciplinary finance, neuroscience and AI collaboration
• Join us to shape scalable decision science tools that tackle societal challenges across finance and beyond.
• 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
You will drive cutting-edge decision science research that blends finance, neuroscience, psychology and computational methods.
You will design and deploy production-grade digital platforms, translating fundamental insights into scalable tools for societal benefit.
You will gain teaching experience and collaborate within a vibrant, interdisciplinary Centre and Department of Finance.

What you will deliver:

• Conduct advanced machine learning and computational research, producing high-quality publications in decision science and related fields.
• Design and maintain robust analytical pipelines and data workflows, following modern software engineering and governance practices.
• Develop and deploy production-grade digital platforms and tools that translate research outputs into ethical real-world applications.
• Deliver engaging teaching in relevant undergraduate and postgraduate subjects, contributing to CBMM and Department programmes.
• Co-supervise Honours, Masters and PhD students and actively participate in seminars, conferences and committees.

You may be a great fit if you:

• Hold a PhD in finance, economics, neuroscience, computer science, psychology, or a related quantitative discipline.
• Demonstrate a strong research record through working papers or publications in high-quality relevant journals.
• Bring advanced machine learning, statistical modelling and data analysis skills, including experience building deployable production-grade solutions.
• Use modern software development practices such as Git-based code management and contemporary deployment workflows.
• Supervise Honours and PhD students effectively, supporting their development across interdisciplinary decision science projects.
• Collaborate confidently across finance, neuroscience, psychology and engineering domains, communicating complex ideas to diverse stakeholders.

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 and cultural 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 – Faculty of Business and Economics
You will join the Centre for Brain, Mind & Markets, embedded within the Department of Finance.
The Centre brings together finance, neuroscience, psychology and computer science to understand and improve decision-making.
You will collaborate with leading scholars and practitioners on projects that translate fundamental insights into practical impact.
We offer a supportive, intellectually vibrant environment that values innovation, interdisciplinarity and real-world relevance.

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 Selection Criteria, found in the Position Description.

Want to know more?

• For queries related to this specific position, contact Carsten Murawski at carstenm@unimelb.edu.au.
• For questions related to our recruitment process email Nick Petersen at hr-careers@unimelb.edu.au
• For recruitment adjustments contact Kim Groizard on +61 3 9035 3218 or at hr-careers@unimelb.edu.au (subject: 'Recruitment Adjustments').

Apply today, and join a community that’s shaping the future.

Applications close: Wednesday 25 August 2026 at 11:55 PM; Melbourne time zone.

Position Description: JR-017088_Postdoctoral Fellow in Decision Science_PD.docx