We are seeking a Research Associate at College of Computing & Data Science (CCDS) to contribute to our project titled “Tamper Detection with Invisible Watermark and Anti-Tampering for Protecting Face or Body Images/Videos”. The focus is on developing and improving algorithms that enhance privacy and security in the AI models.
Key Responsibilities:
- Exploiting deep learning algorithms for improving privacy and security.
- Identify the weakness of existing deep learning algorithms for tamper detection and protection of watermarks, face, and body images/videos.
- Develop new deep learning algorithms or improve existing algorithms to address the weaknesses.
- Prepare codes and datasets for training and testing.
- Carry out experiments and analyze the results.
- Prepare reports and scientific papers for publication.
Job Requirements:
- Master's degree or above in Computer Science, Data Science, or a related field.
- Strong background in deep learning with first-author publications in ECCV, ICCV, CVPR, ICLR, NeurIPS, ACL, EMNLP, or top-ranked IEEE Transactions.
- Knowledge of multimodal fusion and computer vision is must.
- Experience in algorithm development, data processing, and coding (e.g., Python).
- Proven ability to conduct independent research and publish scientific papers and journals.
- Excellent problem-solving skills and attention to detail.
- Good teamwork skills.
- Industrial experience is a plus
We regret that only shortlisted candidates will be notified.
