Research Fellow, Data Scientist (Wearable Technologies, Digital Health & Artificial Intelligence)
Job No.: 697562
Location: Clayton campus
Employment Type: Full-time
Duration: 3-years fixed-term appointment
Remuneration: $123,138 - $146,228 pa Level B (plus 17% employer superannuation)
- Amplify your impact in digital health, wearables and AI-driven research
- Join our Research Fellow team and help shape the future of digital health
- Be surrounded by extraordinary ideas driving innovation in data science and health
The Opportunity
We have an opportunity available for a Research Fellow, Data Scientist to join the Professor Stamatakis research program and contribute to the advancement of digital health and data science capability within an internationally connected research program, with a focus on wearables, data processing pipelines, machine learning and generative AI applied to physical activity and sleep research. The position will contribute to the development of an AI-based behaviour change tool and support data-sharing IT infrastructure, while contributing to research, publications, grant applications and collaborations with leading academic and external partners.
The position will develop and validate wearable data algorithms, software tools and pipelines supporting large-scale, multi-cohort research. It will contribute to the ProPASS federated data analysis platform, including testing, documentation, quality assurance and partner onboarding. The role will apply machine learning and generative AI, including LLM-based conversational AI, and translate technical capabilities through workshops, stakeholder engagement and research outputs.
We are seeking someone with a doctoral qualification in data science, computer science, biomedical engineering, statistics or a related quantitative discipline, or equivalent qualifications or research experience. You will bring demonstrated skills in statistical analysis, research publication and proposal preparation, together with knowledge and experience in machine learning, generative AI or LLM-based systems, cloud computing, and the design and validation of algorithms for high-volume quantitative or sensor-derived data.
Experience with wearable data, health or population health research, federated data environments, data security and governance will be also be highly regarded, alongside strong communication, organisational and collaborative skills.
This is an exciting opportunity to contribute to a multidisciplinary research program at the intersection of digital health, wearables, data science and AI—apply now to be part of this collaborative and internationally connected research environment.
Monash University seeks applicants for this opportunity who are able to demonstrate present valid and current Australian work rights.
About Monash University
At Monash, work feels different. There’s a sense of belonging, from contributing to something ground breaking – a place where great things happen.
We value difference and diversity, and welcome and celebrate everyone's contributions, lived experience and expertise. That’s why we champion an inclusive and respectful workplace culture where everyone is supported to succeed.
Some 20,000 staff work for Monash around the world. We have 95,000 students, four Australian campuses, and campuses in Malaysia and Indonesia. We also have a major presence in India and China, and a significant centre and research foundation in Italy.
In our short history, we have skyrocketed through global university rankings and established ourselves consistently among the world's best tertiary institutions. We rank in the world’s top-50 universities in rankings including the QS World University Rankings 2026.
Together with our commitment to academic freedom, you will have access to quality research facilities, infrastructure, world-class teaching spaces, and international collaboration opportunities.
Learn more about Monash.
Today, we have the momentum to create the future we need for generations to come. Accelerate your change here.
Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments. This includes supporting parents.
To Apply
For instructions on how to apply, please refer to
'How to apply for Monash Jobs'. Your application must address the Key Selection Criteria.
Diversity is one of our greatest strengths at Monash. We encourage applications from Aboriginal and Torres Strait Islander people, culturally and linguistically diverse people, people with disabilities, neurodivergent people, and people of all genders, sexualities, and age groups.
Your employment is contingent upon the satisfactory completion of all pre-employment and/or background checks required for the role, as determined by the University.
Enquiries: Associate Professor Matthew Ahmadi, Matthew.Ahmadi@monash.edu
Position Description: Research Fellow, Data Scientist
Applications Close: Thursday 1 October 2026, 11:55pm AEST
Supporting a diverse workforce
