Postdoctoral Researcher – Energy-Efficient AI for Video Processing
Indexed description
About InterDigital
InterDigital is a global research and development company focused primarily on wireless, video, artificial intelligence (“AI”), and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a broad range of communications and entertainment products and services. We license our innovations worldwide to companies providing such products and services, including makers of wireless communications devices, consumer electronics, IoT devices, cars and other motor vehicles, and providers of cloud-based services such as video streaming. As a leader in wireless technology, our engineers have designed and developed a wide range of innovations that are used in wireless products and networks, from the earliest digital cellular systems to 5G and today’s most advanced Wi-Fi technologies. We are also a leader in video processing and video encoding/decoding technology, with a significant AI research effort that intersects with both wireless and video technologies. Founded in 1972, InterDigital is listed on Nasdaq.
InterDigital is a registered trademark of InterDigital, Inc.
For more information, visit: www.interdigital.com.
The team
InterDigital Video Lab brings together a team of highly motivated, fast-paced, and highly skilled researchers with strong backgrounds in video compression, video processing, machine learning, and standardization. We actively contribute to leading video standards organizations, including ISO/IEC MPEG, ITU-T SG16, JVET, IETF, SMPTE, ITU-R SG6, 3GPP, DVB, and ATSC, alongside mid- to long-term incubation activities.
The Media Services research group at the InterDigital Video Lab has broad experience in energy-efficient technologies in video streaming and high dynamic range imaging. The research group is dedicated to improving video industry technologies, creating authentic, energy-efficient, and high-quality streaming solutions.
Energy-Aware Media project in the Media Services group is dedicated to making the entire video delivery chain more energy-efficient, from content creation through end-user display, while preserving the authentic, high-quality experience users expect. The team develops technologies, tools, and standards that reduce the energy footprint of streaming video at scale.
What You'll Work On
The postdoctoral researcher will investigate how AI-based video processing and generative AI can be made substantially more energy-efficient. Your work may include:
- measuring and modeling energy consumption of AI-based video processing and generation pipelines
- designing energy-aware neural architectures
- optimizing model inference and deployment
- developing metrics for energy-quality trade-offs in AI-based video processing pipelines.
- contributing to emerging standards
Responsibilities
- Identify promising research opportunities.
- Research, develop, and implement algorithms and prototypes in those areas.
- Share results through peer-reviewed publications, invention disclosures, and technology reference implementations.
- Contribute to the team’s existing research tracks and identify opportunities for standardization.
Minimum Qualifications
- PhD or equivalent in computer science, electrical engineering, image processing, signal processing, applied mathematics, or a related field.
- PhD topic related to sustainability, energy impact would be a plus.
- Expertise in learning-based algorithm development for video processing and generation.
- Proficiency in Python and C/C++ software development.
- Strong communication skills and a collaborative approach to working with the team.
- A curious, creative, and motivated mindset.
- Professional proficiency in written and spoken English. Proficiency in French is a plus.
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.
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