Research Fellow - Singapore - Nanyang Technological University

Wei Jie

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Wei Jie

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Description
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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