The School of Computer Science and Engineering (SCSE) is looking for suitable candidates to join us as Research Associate. The Research Associate will design and implement a blockchain-based system for secure and privacy-aware distributed machine learning.

The first part is about the training process of a model, in which parties upload privacy-preserving updates (e.g., privacy-preserving gradients/features) to the blockchain. The second part is to track and conserve the accumulated privacy cost, since throughout the lifetime of a party's data, each uploaded privacy-preserving update can cost the privacy budget of the party's data. The third part is that after a model is trained, we need to have a market for securely exchanging models.

Key Responsibilities:

• Design and implement a blockchain-based subsystem for secure and privacy-aware federated learning
• Design and implement a blockchain-based subsystem for saving and tracking user data's privacy cost spent in machine learning
• Design and implement a blockchain-based secure market for exchanging machine learning models
• Apply blockchains to 6G wireless communications and intelligent reflecting surfaces

Job Requirements:

• A master's degree in Computer Science/Engineering, or Electronic/Electrical Engineering.
• No experience required
• Good communication and coordination skills
• Positive working attitude and a good team player
• Strong sense of responsibility and able to work independently with minimal supervision
• Self-motivated and able to multi-task

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU