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.