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 RequirementsPhD 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
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