Research Fellow (Privacy Preserving Synthetic Data)

Job Description

We are looking for a Research Fellow who will be responsible working on a project on for developing privacy preserving synthetic data.

Responsibilities:
•    Design and develop Generative Adversarial Network based techniques for generating synthetic data;
•    Perform analysis and simulations to validate designs;
•    Assists with the editing and preparation of manuscripts, reports and presentations;
•    Participate in presentations and demos for exhibiting work at appropriate events;

Qualifications

•    PhD in Electrical Engineering, Computer Science or a related field;
•    Programming experience and knowledge of machine learning would be a plus;
•    Possesses research background with ability to read and understand methodologies in research papers;
•    Fluent in English language communication and good team-player;
•    Open to fixed term contract.

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Electrical and Computer Engineering

Employee Referral Eligible: No

Job requisition ID : 15663