Postdoctoral Fellow

The Australian National University; Canberra; On-site; AUD 92,000 - 115,000; Full time

Benefits offered by this job

Relocation assistance

17% employer superannuation

Flexible working arrangements

parental leave and family support

Job summary

The Australian National University in Canberra invites applications for a Postdoctoral Fellow in Machine Learning Engineering within the ANU Neuroinformatics group. The role is research-intensive, funded by MRFF, and focuses on building a new digital therapeutic for depression using closed-loop brain stimulation.

Applicants should be active in Data Science and Analytics and engage in collaborative, transdisciplinary Software Engineering and Machine/Deep Learning research in Health and Medical

Qualifications

• Postdoctoral research experience in ML/AI.
• Experience in health informatics or medical data.
• Strong collaboration across disciplines.

Responsibilities

• Develop and validate ML models for digital therapeutics.
• Contribute to MRFF grant project and cross-disciplinary work.
• Publish findings and present at collaborations with ANU.

Skills

Machine Learning

Data Science

Software Engineering

Deep Learning

Education

PhD in Computer Science or related

Tools

Python

TensorFlow / PyTorch

Job description

Classification: Academic Level A
Salary package: $91,546-$114,906 per annum plus 17% superannuation
Terms: Fixed term, Full-Time (approximately 11 months from 1 February 2027)

Join us in developing a new digital therapeutic for depression through closed-loop non-invasive brain stimulation as the next generation Australian national critical research infrastructure. The Postdoctoral Fellow in Machine Learning Engineering role exists at the School of Computing in the ANU Neuroinformatics group and is research intensive in an externally funded Medical Research Future Fund (MRFF) grant project across the University in Computer and Health Sciences. Applications are particularly invited from researchers in Data Science and Analytics who undertake high-impact collaborative and transdisciplinary Software Engineering and Machine/Deep Learning Research in Health and Medical Informatics.

About the School

The School of Computing has a strong foundation in computing and information sciences at ANU. We are a transformative centre for research in artificial intelligence and machine learning, computer systems and software, and theoretical foundations of computing. We span traditional and modern thinking, connecting decades of computer science methodologies with modern data and computational science. Our mission is motivated by the need to design, drive and sustain strategic activities via five broad focus areas: Computing Foundations, Computational Science, Intelligent Systems, Data Science and Analytics, and the Software Innovation Institute. Be part of an innovative and forward-looking intellectual agenda, built on a diverse, inclusive culture.

About the College

As one of the great universities of the world, ANU is driven by a culture of excellence in everything we do. Our lived experience is increasingly one of large-scale systems of people, whose actions and interactions are influenced by our digital, physical and biological environment. The ANU College of Systems and Society (CSS) hosts many of the key disciplines necessary to help us design, build, regulate and secure the future.

CSS brings together expertise in social, technical, computational, ecological and scientific systems to build a new approach to systems design and build new national capabilities in data-driven policy and business development. The work we do in the College is to strengthen our national mission and meet our unique responsibilities as Australia’s national university. We will deliver on our mission by building a strong community, providing transformative educational experiences, conducting high-impact research, seeking meaningful engagement, and becoming a resilient organisation.

We welcome and openly acknowledge differences in expertise, research / education / professional focus, experience and perspective.

CSS is a vibrant and diverse community of more than three thousand students, staff, and visitors. Our College is comprised of the School of Computing, School of Cybernetics, School of Engineering, Fenner School of Environment & Society, Mathematical Sciences Institute, and the Australian National Centre for the Public Awareness of Science, supported by the Professional Services Group.

Enquiries

To enquire about this role, please email Professor Hanna Suominen: [e-mail].

Our commitment to diversity, belonging, inclusion and equity

ANU is committed to building a diverse and inclusive community, and particularly welcomes applications from women, Aboriginal and Torres Strait Islander people and candidates from culturally and linguistically diverse backgrounds. Furthermore, it is practice in the ANU College of Systems and Society to actively seek a gender mix of shortlisted candidates for interview. For more information about staff equity at ANU, visit https://services.anu.edu.au/human-resources/respect-inclusion

We welcome and develop diversity of backgrounds, experiences and ideas and encourage applications from individuals who may have had non-traditional career paths, who may have taken a career break, had career disruptions or who have achieved excellence in careers outside of the higher education sector. We support applicants who require flexible arrangements in their work environments or patterns. If your experience looks a little different to what we’ve described, but you’re passionate and motivated by this position, we welcome your enquiry and application.

What we offer

The ANU provides attractive benefits and excellent support to maintain a healthy work/life balance and offers generous remuneration benefits, including four weeks paid vacation per year, assistance with relocation expenses and 17% employer contribution to superannuation. We also offer generous parental leave, the possibility of flexible and part time working arrangements, a parental and aged care support program, dual career hire programs, staff and family tuition fee discounts, ANU school holiday programs, and childcare facilities on campus. For more information, visit: https://services.anu.edu.au/human-resources

Closing Date: Sunday, 27th September 2026, 11:55pm (AEST)

Please note: The preferred candidate must have rights to live and work in Australia and will be required to complete mandatory pre-employment declarations and background checks relevant to the role they have applied for, in accordance with the Background Checking Procedure and the National Higher Education Code to Prevent and Respond to Gender-Based Violence .