"Research Scientist (1-year contract), SCIS"

• Employment Type: Contract
• Experience Level: Manager
• Education Level: Doctorate or equivalent
• Country: Singapore | Closing On 11 Mar 2026
• Working Arrangement: Hybrid

About Us

Singapore Management University is a place where high-level professionalism blends together with a healthy informality. The 'family-like' atmosphere among the SMU community fosters a culture where employees work, plan, organise and play together - building a strong collegiality and morale within the university.

Our commitment to attract and retain talent is ongoing. We offer attractive benefits and welfare, competitive compensation packages, and generous professional development opportunities - all to meet the work-life needs of our staff. No wonder, then, that SMU continues to be given numerous awards and recognition for its human resource excellence.

Job Description

The candidate will be responsible for conducting research on video deepfake detection. Successful candidate will be part of an active research team led by Prof HE Shengfeng from School of Computing and Information Systems (SCIS), Singapore Management University (SMU).

Candidate's core responsibilities are:

• Conduct high-quality research on video deepfake detection
• Generating/Collecting video deepfake data.
• Implementing deep learning related programs.
• Other duties as assigned.

Qualifications

• Minimum PhD degree in Computer Science, Information Technology, Information Systems or closely related disciplines from an institution of higher learning; with particular focus on video deepfake detection or video analysis.
• Minimum 2 years of relevant research experience in video analysis.
• Proficiency in programming software/languages such as Python and C++ will be positively considered/ is required.
• Proven track record and professional experience in computer vision.
• Demonstrated experience and know-how on video analysis.
• Excellent working knowledge of video analysis.
• Ability to break down complex problems and design effective solutions.
• Innovating new approaches and thinking outside the box.
• Applicants with strong research publications in deepfake detection area will be advantageous.
• Ability to work cooperatively as part of a small, agile academic research team is essential.
• Self-motivated individual who can work independently and collaboratively with team members.

Other Information

#LI-JN2

Posted On 09 Feb 2026