Research Fellow (Image Forensics)

A Research Fellow position is available in the Rapid-Rich Object SEarch (ROSE) Lab School of Electrical & Electronic Engineering, Nanyang Technological University, Singapore.

Job Description:

The Research Fellow will work on a project to conduct research on Computer Vision, Image Processing, and Multimedia Forensics & Biometrics for security and forensics applications. The roles of this position include:

• Research into Multimedia Forensics & Biometrics related work, including deepfake detection, face forgery detection, face anti-spoofing detection, and image quality analysis.

• Creation 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 research grants in the above areas

Job Requirements:

• PhD degree in Computer Science and/or Engineering, Data Science & Analytics, Mathematics, or related field

• Research experience in Multimedia Forensics, DeepFake Detection, Face Forgery Detection, Face Anti-Spoofing Detection, Image Quality Analysis, and Image Processing

• First author publications in top conferences and journals in Computer Vision, Pattern Recognition, Machine Intelligence, Image Processing, and/or Multimedia Forensics is required

• Proficiency in software such as PyTorch, TensorFlow, TensorRT, OpenCV, and programming languages such as C/C++ and Python, as well as Linux (eg. Ubuntu) is essential.

• Knowledge of GPU computing, CUDA programming, optimization (eg. with TensorRT), and industry experience in engineering software development would be an advantage.

• Good inter-personal skills, with the ability to work with people from varied backgrounds

• Proficient in English

We regret that only shortlisted candidates will be notified.

Hiring Institution: NTU

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