The School of Electrical and Electronic Engineering is seeking a Research Fellow to focus on research in: (i) visual search & retrieval, (ii) video analytics & deep learning, and (iii) multimedia forensics & biometrics.
The Research Fellow will be responsible for research on Multimedia (Audio & Video) Forensics, Generative AI, and DeepFake Detection. The roles of this position include:
Job Description:
- Working in research teams on Multimedia Forensics projects in Generative AI, DeepFake Detection, and Digital Watermarking.
- 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 Requirement:
- PhD in Computer Science, Electrical/Electronic Engineering, Software Engineering, or related field.
- Research experience in Computer Vision, Multimedia Forensics, Pattern Recognition, Deep Learning, and working with large-scale datasets.
- Experience with deep learning for image/video understanding, Generative AI, deepfake detection and audio-video anti-spoofing is essential.
- Knowledge of multimodal (visual/audio) anti-spoofing, unlearnable examples, adversarial attack, and digital watermarking would be a strong advantage.
- Proficiency in software such as PyTorch, OpenCV, and programming languages such as Python and C/C++, 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.
- Excellent communication skills (both written and verbal).
We regret that only shortlisted candidates will be notified.
