Job Description

The Research Associate will be responsible for working on a project for developing privacy preserving synthetic data.

Responsibilities:

• 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

Job requirements:

• Master’s degree with at least 2 years’ relevant work experience, and good knowledge, skills and expertise in relevant 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 and good team-player

Qualifications

Master Degree in Electrical Engineering, Computer Science or a related field

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: Asian Institute of Digital Finance
Department : FinTech Research
Employee Referral Eligible: No
Job requisition ID : 16303