Research Associate, Generative Adversarial Network
We are looking for a Research Associate who will be responsible working on a project on for developing privacy preserving synthetic data.
- Implement and test 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;
- Masters 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;
- Good written and spoken communications.
- A good team-player
- Open to Fixed Term Contract
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.
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Electrical and Computer Engineering
Employee Referral Eligible: No
Job requisition ID: 17749