PhD Researcher in Deep Video Coding & Reference Frames

InterDigital, Inc.; Rennes; On-site; EUR 20,000 - 28,000; Full time

Job summary

InterDigital's Rennes R&I Center is seeking a PhD researcher to advance deep-learning based video coding. The project focuses on 2D video coding, standardization efforts with MPEG/JVET, and developing end-to-end deep coding architectures.

The researcher will contribute to innovative DL-based coding tools and leverage JVET/MPEG reference software. The role involves publishing results, contributing to standards, and collaborating with two labs—INRIA CompACT and InterDigital Video Lab—under a

Qualifications

• PhD researcher with strong foundation in deep learning and video coding.
• Master's degree or engineer diploma in CS with related fields.
• Experience with C/C++, Python and TensorFlow.

Responsibilities

• Follow-up the state-of-art of published research and standardization in deep learning and video coding.
• Propose and implement new algorithms for video coding, in collaboration with the research team.
• Participate in invention disclosures.
• Demonstrate and promote results in standards, peer-reviewed journals and conferences.

Skills

Deep learning

Machine learning

Image processing

Computer Vision

Fluent English

Teamwork

Education

Master's degree in Computer Science or related field

PhD or Engineer Diploma (preferred)

Tools

C/C++

Python

TensorFlow

Windows/Linux

Job description

InterDigital's Rennes R&I Center is seeking a PhD researcher to advance deep-learning based video coding. The project focuses on 2D video coding, standardization efforts with MPEG/JVET, and developing end-to-end deep coding architectures.

The researcher will contribute to innovative DL-based coding tools and leverage JVET/MPEG reference software. The role involves publishing results, contributing to standards, and collaborating with two labs—INRIA CompACT and InterDigital Video Lab—under a