Research Fellow
2 weeks ago
Access to data is crucial for AI-empowered businesses. However, in an age of heightened user privacy awareness, access to data is not easy. The TrustFUL research program aims to bridge this gap by developing new a trustworthy federated learning paradigm characterized by fairness, transparency, accountability, robustness, security and privacy-protection.
The Research Fellow is required to conduct research and development work on federated learning, especially focusing on the aspect of quantum federated learning, under the project TrustFUL - Trustworthy Federated Ubiquitous
Key Responsibilities:
- Conduct independent research in the field of federated learning, focusing on quantum federated learning.- Help supervise PhD, master and undergraduate students, and R&D staff.- Help with federated learning technical platform design and development.- Help with collaboration with existing industry partners.
Job Requirements:
- PhD degree in Computer Science/Engineering, Electrical/Electronic Engineering, Mathematics or other related disciplines from a reputable university.- Good publication track record is a must.- Previous research experience in quantum computing preferred.- Previous research experience in the field of federated learning will be advantageous.
Hiring Institution: NTU
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