Research Assistant, Center for Trusted Internet and Community job with NATIONAL UNIVERSITY OF SINGAPORE

job description

Develop algorithms and models for document-level trust prediction and curate a dataset of tagged articles for trust analysis and prediction.

Qualifications

Good Bachelor’s and/or Master’s degree in computer science.

Strong background in algorithm design and AI/machine learning with research experience. Knowledge of NLP algorithms and neural networks. Coding experience in Python, C/C++. Good writing and communication skills.

Covid-19 message

At NUS, the health and safety of our staff and students is one of our top priorities, and the COVID vaccination supports our commitment to keeping our community safe and making NUS as safe and welcoming as possible. . Many of our roles require a significant amount of physical interaction with students/staff/audience members. Even for professional roles that can be performed remotely, there will be instances where on-campus presences will be required.

As per Singapore legal requirements, unvaccinated workers will not be able to work on NUS premises from January 15, 2022. Thus job applicants will need to be fully vaccinated against COVID-19 to gain successful employment with NUS .

More information

Location: Kent Ridge Campus

Organization: NUS Center for a Trusted Internet and Community

Department: NUS Center for a Trusted Internet and Community

Eligible Employee Referral: No

Job Application ID: 12946