Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
Core
Conduct innovative research in deep learning, foundation models, and diffusion models to develop state-of-the-art methods for watermarking, object detection, or video processing.
Role type
Research Fellow (Computer Engineering/Computer Science/Electronics Engineering)
Builds
Papers, reports, and systems for agencies/commercial partners
Domain
AI, 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, diffusion model architectures, object detection pipelines, 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 for agencies/commercial partners, supervise junior researchers and master students
Seniority
Senior, hands-on IC
