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Post-doctoral position: Predicting Energy-Aware Quality of Images and Videos

30 Juin 2022

Catégorie : Post-doctorant

InterDigital is seeking to hire a post-doctoral researcher on a contract for 18 months (start date TBD) to strengthen the Energy Aware Media team.


About InterDigital

InterDigital develops fundamental wireless technologies that are at the core of mobile devices, networks, and services worldwide. We solve many of the industry's most critical and complex technical challenges, providing solutions for more efficient broadband networks and a richer multimedia experience years ahead of market deployment. InterDigital has strategic relationships with many of the world's leading wireless companies. Founded in 1972, InterDigital is listed on NASDAQ and is included in the S&P SmallCap 600 Index.

The Team

The selected candidate will integrate into the research team Energy-Aware Media, part of the Meta Video Group gathering more than 25 researchers, engineers, PhDs, and Postdocs coming from 10 different countries. The main line of research in the team is to propose and build energy-aware solutions for video compression and display algorithms.


Today, addressing climate change issues is of crucial importance and it is commonly acknowledged that the consumption of energy has a direct and significant impact on our climate. The media and entertainment industry consumes a significant amount of energy to create, distribute and present video content to consumers. This comes with increased resolutions (4K, 8K) and increased dynamic range of the transmitted content and consequently increased required bandwidth.

Numerous computer vision tasks such as compression, restoration, denoising, upscaling, etc. develop and use perceptual quality metrics capable of assessing the perceptual quality of their output content. In this project, a quality metric will be developed that takes energy consumption into consideration. In practice, the postdoctoral researcher will work on understanding the relation between the acceptable quality of a given media and the induced savings of energy when modifying its quality.

Based on this understanding, the elaboration of a dedicated protocol for the construction of a large-scale dataset from subjective data will be envisioned. This dataset will further enable the development and implementation of innovative algorithms to model a novel energy-aware perceptual quality metric for media content. In this context, machine learning techniques such as deep learning will be explored.

The successful postdoc will also be expected to present scientific results at international conferences and journals, as well as to generate intellectual property (patents).


• PhD in Computer Engineering, Computer Science, Video Coding, Electrical Engineering.
• Research background in computer vision, machine learning, image or video signal processing and compression.
• Ideally good knowledge of video compression, machine learning techniques (deep learning) and perceptual understanding of media.
• Good programming skills (Python/Matlab, C++, Linux)
• Strong analytical and problem-solving skills.
• Fluent in English, French appreciated.

Location: Rennes, France

Contacts and Application

Applications should be sent to Dr. Olivier LE MEUR (email

Applicants should submit a curriculum vitae, a list of publications, a statement of research interests and preferably a recommendation letter.

InterDigital is an equal employment opportunity employer. InterDigital will not engage in or tolerate unlawful discrimination with regard to any employment decision, policy or practice based on a person’s sex, gender, pregnancy (including childbirth, breastfeeding and related medical conditions), age, race, color, religion, creed, national origin, ancestry, citizenship, military status, veteran status, mental or physical disability, medical condition, genetic information, sexual orientation, gender identity or expression, or any other factor protected by applicable federal, state or local law. This policy applies to all terms and conditions of employment, including, but not limited to, recruiting, hiring, compensation, benefits, training, assignments, evaluations, coaching, promotion, discipline, discharge and layoff.