Research Fellow - Federated & Multimodal Learning
About the job
As a Research Fellow in Federated & Multimodal Learning, you will play a pivotal role in advancing artificial intelligence research for healthcare at Monash University. This exciting opportunity allows you to contribute to groundbreaking research while collaborating with a diverse and inclusive community. The team thrives on innovation and teamwork, making it a perfect fit for those passionate about making a real-world impact.
You'll be responsible for
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Developing novel methodologies
Creating innovative federated AI methodologies and multimodal deep learning approaches for privacy-preserving learning.💉
Supporting health outcomes
Conducting research to improve health outcomes in areas such as diabetes, cancer, and arthritis.🏗️
Establishing infrastructure
Building scalable, privacy-preserving federated learning infrastructure to enhance healthcare data utilization.Key criteria
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Federated learning expertise
Proven experience in federated learning methodologies and applications.View
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Multimodal data integration skills
Demonstrated ability to integrate diverse healthcare data sources.View
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Research publication record
Experience publishing high-quality research in relevant fields.View
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