Research Fellow - Federated & Multimodal LearningJob No.
: ******Location: Clayton campusEmployment Type: Full-timeDuration: 2-year fixed-term appointmentRemuneration: $123,138 - $146,228 pa Level B (plus 17% employer superannuation)Amplify your impact at a world top 50 UniversityJoin our inclusive, collaborative communityBe surrounded by extraordinary ideas - and the people who discover themThe OpportunityJoin the Department of Data Science and Artificial Intelligence as a Research Fellow and play a leading role in advancing artificial intelligence research for healthcare.This position will be part of the National Infrastructure for federated learNing in DigitAl health (NINA) initiative and will drive high-quality research in federated and multimodal learning, with a particular focus on foundation models, medical image analysis, and multimodal healthcare data integration.In this role, you will:Develop novel federated AI methodologies, foundation model adaptation techniques, and multimodal deep learning approaches that enable privacy-preserving learning across distributed healthcare data sourcesSupport health outcomes with research in transformative applications in diabetes, cancer, rheumatoid arthritis, and osteoarthritis, including disease diagnosis, risk prediction, and clinical decision supportEstablish scalable, privacy-preserving federated learning infrastructure to unlock the value of distributed health data and improve outcomes for Australians living with chronic diseasesContribute to the University's research excellence through high-quality publications, team-oriented research partnerships, supervision of research students,



and the development of competitive research funding opportunitiesThe successful candidate will be a driven post doctoral researcher with a passion for applying advanced machine learning to real-world medical challenges.About Monash UniversityAtMonash, work feels different.
There's a sense of belonging, from contributing to something ground breaking – a place where excellent things happen.We value difference anddiversity, and welcome and celebrate everyone's contributions, lived experience and expertise.
That's why we champion aninclusive 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 theworld's top-50 universities in rankings including the QS World University Rankings ****.Together with ourcommitment 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 themomentum 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 includessupporting parents.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.We are committed to fostering an inclusive and accessible recruitment process at Monash.
If you need any reasonable adjustments, please contact us at ****** an email titled 'Reasonable Adjustments Request' for a confidential discussion.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: Dr Yasmeen George, Senior Lecturer, Department of Data Science and Artificial Intelligence, Faculty of Information Technology, ****** Description:Research FellowApplications Close: Monday 31 August ****, 11:55pm AESTSupporting a diverse workforceMonash University recognises that its Australian campuses are located on the unceded lands of the people of the Kulin nations, and pays its respects to their elders, past and present.
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📌 Research Fellow - Federated & Multimodal Learning (Victoria)
🏢 Monash
📍 Victoria