Our new corp lab is seeking to hire a research scientist to conduct research and development work on federated learning, especially focusing on the aspect of robustness in federated learning, under the project Toolkit for Improving Security and Privacy - Privacy Preservation Through Efficient Federated Learning.

Key Responsibilities:

• Conduct independent research in the field of federated learning, focusing on incentive mechanism design.
• 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 explainable AI related fields preferred.
• Previous research experience in the field of federated learning will be advantageous.

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU