2 месяца назад
Energy Aware Media Research Scientist (Video Streaming)
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Energy Aware Media Research Scientist (Video Streaming): Designing energy-efficient algorithms and systems for end-to-end video streaming, including ABR ladder optimization, CDN and edge delivery, network adaptation, and live streaming workflows, with an accent on conventional and learning-based approaches. Focus on developing prototypes, reducing streaming energy costs, contributing to video standards, and solving complex delivery and low-power live streaming challenges.
Location: Rennes, France. Hybrid work arrangement with 3 days per week on-site.
Company
is a research and development company focused on wireless, video, AI, and related technologies, developing and licensing foundational technologies for connected and immersive products and services.
What you will do
- Identify research opportunities in energy-efficient video streaming, including ABR ladders, CDN and edge delivery, network adaptation, and live streaming.
- Research, develop, and implement algorithms, methods, prototypes, and reference technologies.
- Design strategies for energy-aware encoding ladders, CDN caching and routing, and low-power live streaming architectures.
- Disseminate results through invention disclosures, peer-reviewed publications, tradeshows, exhibitions, and technology reference implementations.
- Contribute to video standards activities involving MPEG, 3GPP, SVTA, DVB, and ATSC, while collaborating with industry and academic partners.
- Help supervise interns, PhD candidates, and post-doctoral researchers, with the opportunity to lead dedicated research workstreams.
Requirements
- PhD in computer science, electrical engineering, image processing, signal processing, applied mathematics, or a related field.
- Expertise in conventional and learning-based algorithm development for video streaming, image processing, signal processing, or networking.
- Publications in related peer-reviewed conferences or journals.
- Software development skills in Python and C/C++.
- Strong communication and collaboration skills for working with internal teams, external industry partners, and academic groups.
- Professional working proficiency in English, written and spoken.
Nice to have
- Experience with DASH, HLS, CMAF, LL-HLS, LL-DASH, WebRTC, or MoQ.
- Knowledge of CDN architectures, edge computing, congestion control, or QoE measurement.
- Experience contributing to MPEG, 3GPP SA4, DASH-IF, or CTA WAVE standards.
- Experience converting research into inventions, prototypes, and products.
- French proficiency.
Culture & Benefits
- Collaborative research environment within the Video Lab.
- Work across video compression, video processing, machine learning, energy efficiency, and standardization.
- Opportunities to collaborate with industrial partners, academic groups, and international standards organizations.
- Hybrid work with 3 days per week on-site in Rennes.
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