Research Fellow (Computer Engineering, Computer Science/Electronics Engineering)

About This Role

A research fellowship for Computer Engineering and CS students seeking to develop state-of-the-art generative models, including watermarking and video processing techniques, with a focus on PhD-level expertise in deep learning.

Responsibilities

• Literature review of existing methods and models
• Identify weaknesses in current AI systems to propose state-of-the-art solutions
• Train and evaluate models, systematically comparing them with recent advancements
• Prepare research papers and reports for publication at top conferences like NeurIPS or CVPR
• Develop systems based on developed models for commercial partners and agencies
• Supervise junior researchers and master students in the lab

Requirements

• Preferably a PhD in Computer Engineering, CS, or Electronics Engineering
• Independent, analytical, and proactive team player with strong verbal and written communication skills
• In-depth knowledge of deep learning, specifically foundation models and diffusion models for image/video watermarking
• Demonstrated capability to conduct innovative research with a strong publication record at top AI conferences
• Strong software implementation skills and ability to initiate multidisciplinary collaboration research