Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
Core
Conduct innovative research in deep learning, specifically in watermarking, object detection, or video processing, to develop state-of-the-art methods and systems for agencies and commercial partners.
Role type
Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
Builds
Production research models and systems for agencies/commercial partners
Domain
Artificial Intelligence, Deep Learning, Computer Vision
Deliverable
production ML models
Required skills
deep learning, foundation models, diffusion models, watermarking techniques, open-vocabulary object detection, few-shot object detection, referring object detection, video summarization, key-frame extraction, test-time domain adaptation, experimental design, software implementation
Preferred skills
publications at top AI conferences (CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, TPAMI, TIP, TIFS, TMM), 4+ years research experience including PhD study
Technologies
deep learning frameworks, watermarking tools, object detection libraries, video processing tools
Responsibilities
Literature review of existing methods and models, Identify weaknesses of existing models, Propose and develop state-of-the-art methods, Train and evaluate models, Prepare papers and reports, Develop systems based on developed models, Supervise junior researchers and master students
