Research Associate (Deepfake Detection)

Research Associate Position

School of Electrical and Electronic Engineering (EEE) is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduate students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

The EEE Rapid-Rich Object SEarch (ROSE) Lab focuses on research in: visual search & retrieval, video analytics & deep learning, and multimedia forensics & biometrics. Resources at the ROSE Lab consist of NTU faculty, researchers, PhD students, and visiting researchers from other institutions from around the world, as well as large-scale GPU computing facilities for deep learning.

Our Lab aims to hire a Research Associate to lead a research project on Real-World Deepfake Detection and Image Forgery Localization. The role will focus on the design, development and evaluation of such tools.

Key Responsibilities:

• Lead research into Real-world Deepfake Detection, Image Forgery Detection & Localization, and Multimedia Forensics
• Creation and/or adaptation of large-scale datasets for research and algorithm evaluation
• Be part of a research team in the execution of funded research projects
• Assist in drafting of proposals for new research grants in the above areas

Job Requirements:

• A Masters degree in Computer Science, Data Science, Engineering, or a related field.
• Research experience in Computer Vision, Image Processing, Multimedia Forensics, Image Forgery Detection & Localization, Deepfake Detection, and related areas.
• Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python, C/C++, as well as Linux (eg. Ubuntu) is essential.
• Knowledge of GPU computing, CUDA programming, model optimization, and industry experience in engineering software development would be an advantage.
• Excellent written and oral communication skills, with the ability to present effectively to users and management boards.
• Ability to communicate with various stakeholders and lead a team of 3–4 researchers or student assistants.

We regret to inform you that only shortlisted candidates will be notified.

Hiring Institution: NTU