Job Description

Immediate Opening: Research Assistant/Engineer in Fake Video Synthesis

We are hiring a Research Engineer for a project in Deep and Cheap Fakes. This project seeks to understand how modern deep fakes affect the attitudes, knowledge and perception of human viewers, both positively and negatively. It is a multi-disciplinary project at the Centre for Trusted Internet and Community, National University of Singapore, and it involves researchers from the fields of communications, new media, and computer science.

We seek a Research Engineer to create believable deep fakes of a person speaking (ie., facial animation and speech synthesis) using existing face re-enactment and voice cloning algorithms.

The Engineer should possess most of these skills:

• Experience with GANs and auto-encoders
• Experience in deep learning tools such as Keras, Tensorflow or PyTorch
• Knowledge of signal processing

This position is for 18 months and is now open to anyone from any nationality. A Bachelor or Master degree in Electrical Engineering or Computer Science is required.

Please send your CV to Prof Maite Soto-Sanfiel, cnmmtss@nus.edu.sg

Qualifications

A Bachelor or Master degree in Electrical Engineering or Computer Science is required.

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 presences are required.

In accordance with Singapore's legal requirements, unvaccinated workers will not be able to work on the NUS premises with effect from 15 January 2022. As such, job applicants will need to be fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: Arts & Social Sciences
Department: Communications And New Media
Employee Referral Eligible: No
Job requisition ID: 14422