NATIONAL UNIVERSITY OF SINGAPORE

Research Associate, Asian Institute of Digital Finance

7 days left

Location
Singapore
Posted
14 Nov 2022
End of advertisement period
14 Dec 2022
Ref
9411444
Contract Type
Permanent
Hours
Full Time

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

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