Intern, AI​/ML applied to Wireless Communications

Intern, AI/ML applied to Wireless Communications page is loaded## Intern, AI/ML applied to Wireless Communications locations:
Los Altos CAposted on:
Posted 30+ Days Agojob requisition :
REQ
25-1026
** About Inter Digital
** Inter Digital 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, Inter Digital is listed on Nasdaq.

Inter Digital is a registered trademark of Inter Digital, Inc.

For more information, visit: .
** Job Summary
** The Inter Digital  Lab in Silicon Valley is looking for motivated Ph.D students for internships around
** AI/ML applied to Wireless Communications.
** The AI Lab works on novel applications of AI and ML for video and wireless applications. You will develop proof-of-concepts, prototypes and research ideas that tie machine learning and AI technologies with a broad range of signal processing and wireless technologies and will publish your work in leading conferences.  
** Come intern with us if you are interested in:
*** Pushing state of the art in AI/ML for signal processing and wireless communication.
* Formulating and solving real-world problems using non-convex, stochastic, and combinatorial optimization.
* Research and design of ML algorithms that will be at the core of next generation (6G) wireless communication systems.
** Problems areas that we are actively exploring:
*** Physics informed deep learning for channel modelling and estimation.
* Hardware and energy efficient architectures for real time inference.
* Cross model alignment across independently designed and trained models.
* Efficient information exchange and model training in dynamic wireless systems.
*
* Qualifications:

*** Ph.D. student in EE, Computer Science, Statistics, or relevant discipline.
* Publications or research and development experience in one or more of the following areas: machine learning, deep learning, data mining, optimization.
* Background in wireless communication and/or signal processing is a plus, but not necessary.
* Hands on experience with ML frameworks such as Pytorch, Tensorflow.
** Internship Benefits:
*** We promote long-lasting collaborations with our interns.
* Publish in leading conferences including NeurIPS, ICLR, IJCAI, ICASSP, INFOCOM, SIGCOMM, GLOBECOM.
* Opportunity to collaborate with leading researchers in their fields.
** Inter Digital leads the way in Video and Wireless Technologies:
*** Laser focused on research with more than 300 engineers and researchers.
* We invent solutions for efficient wireless networks, better video delivery, and richer multimedia experiences – more than $1B invested in R&D efforts since 2000.
* We designed and developed a wide range of technologies used in 4G and 5G wireless, and in many video standards (MPEG, H.265, H.266, …).
* 80% of consumer electronics manufacturers integrate our technology.
** Internship:
** Full Time (Resident) onsite
*
* Location:

** Los Altos, CA    
* Inter Digital is an equal employment opportunity employer. Inter Digital 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,…