Job Description
The National University of Singapore invites applications for the position of Research Assistant in the Department of Computer Science, School of Computing (SoC). SoC is strongly committed to research excellence in all its dimensions: Searching for fundamental results and insights, developing novel computational solutions to a wide range of applications, building large-scale experimental systems and improving the well-being of society. We seek to play an active role both internationally and locally in the core and emerging areas of Computer Science and Information Systems.
The candidate will focus on the study of Privacy in Machine Learning and work on a project which aims to investigate methods for protecting the privacy of individuals while using machine learning. The candidate will focus on developing and evaluating algorithms that can be used to preserve privacy in a variety of settings. The ultimate goal is to advance the understanding of how to build machine learning systems that can be used safely and ethically, and to make practical contributions to the field of privacy-preserving machine learning.
Qualifications
- A Bachelor’s degree with Honours in a relevant area; and
- Experience in research.
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: School of Computing
Department : Department of Computer Science
Employee Referral Eligible: No
Job requisition ID : 18585
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