Job Description
Job Details
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Job No.: ******
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Location: Clayton campus
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Employment Type: Full-time
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Duration: 2-year fixed-term appointment
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Remuneration: $123,138 - $146,228 per annum Level B (plus 17% employer superannuation)
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The Opportunity
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Join 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.
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Responsibilities
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Develop novel federated AI methodologies, foundation model adaptation techniques, and multimodal deep learning approaches that enable privacy‐preserving learning across distributed healthcare data sources.
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Support health outcomes with research in transformative applications in diabetes, cancer, rheumatoid arthritis, and osteoarthritis, including disease diagnosis, risk prediction, and clinical decision support.
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Establish scalable, privacy‐preserving federated learning infrastructure to unlock the value of distributed health data and improve outcomes for Australians living with chronic diseases.
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Contribute to the University's research excellence through high‐quality publications, collaborative research partnerships, supervision of research students, and development of competitive research funding opportunities.
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Qualifications and Experience
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The successful candidate will be a driven post‐doctoral researcher with a passion for applying advanced machine learning to real‐world medical challenges. If you thrive in collaborative, multi‐disciplinary environments and possess a solid technical foundation in AI methodologies, please apply today.
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Benefits
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Monash supports flexible and hybrid working arrangements. We have a range of policies in place enabling staff to combine work and personal commitments, including support for parents.
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Diversity and Inclusion
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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.
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We are committed to fostering an inclusive and accessible recruitment process. If you need any reasonable adjustments, please contact hr-
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in an email titled 'Reasonable Adjustments Request' for a confidential discussion.
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Application Information
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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.
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Applications close Monday 31 August ****, 11:55 pm AEST.
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For instructions on how to apply, please refer to 'How to apply for Monash Jobs'.
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Enquiries
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Dr Yasmeen George, Senior Lecturer, Department of Data Science and Artificial Intelligence, Faculty of Information Technology,
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Position Description
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Research Fellow
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📌 Research Fellow - Federated & Multimodal Learning (Victoria)
🏢 Monash
📍 Victoria