PhD Scholarship in Privacy-Preserving Machine Learning

This PhD scholarship opportunity is designed for students interested in creative and challenging projects with a background in cybersecurity and artificial intelligence. The research project addresses a critical challenge in modern data analytics: enabling institutes to combine their data and derive mutual benefits through collaborative analytics while protecting sensitive data that cannot be shared across boundaries. The scholarship will support the development of new techniques for privacy-preserving collaborative analytics on sensitive data, which aim to realize mutual benefits while mitigating the renewed privacy concerns in this era of intelligence. The successful candidate will work on innovative approaches to enable secure data collaboration without compromising data privacy and security.