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 .
Summary
World Foundational Models (WFMs) are self-supervised AI models trained on vast datasets of sensors sequences (visual, sound, Lidar…) to learn the underlying physics, temporal dynamics, and spatial structures of physical environments.
Rather than predicting full-resolution, high-dimensional pixels for future states—which is computationally expensive and spends capacity on irrelevant noise like background texture changes—modern WFMs learn task-agnostic latent representations.
The goal of this internship is to explore, benchmark, and evaluate how task-agnostic latent spaces learned by existing World Foundational Models (like NVIDIA Cosmos, Meta’s V-JEPA or LeWorldMode) can infer information and interpret that information to take decisions. One expected outcome is to demonstrate that the WFMs are generic enough to infer different information for different applications.
Target use cases may include autonomous navigation, elderly people surveillance, and anomaly detection. The work may lead to prototype software, internal demonstrators, and potentially publication and/or patent contributions.
Responsibilities
The intern will join the haptics research team within the New Media Codec group at InterDigital (Rennes). The work will consist in:
Studying the state of the art on neural representations of world models
Evaluate and compare different models
Designing and implementing applications using those models and identify the type of inferences that can be expected
Exploring agents able to use those inferences for some applications (autonomous robots, alert detection, elderly care…)
Evaluating the proposed methods and developing demonstrators with potential contributions to publications and patents
Qualifications
Master’s student (or 4th year engineering school) in Computer Science, Machine Learning, Signal Processing, Robotics, or related field
Strong Python programming skills and experience with PyTorch or TensorFlow
Good knowledge of neural networks, representation learning, and signal processing
Nice to have:
Experience with autoencoders, GANs, INRs, or generative models for temporal data
Knowledge of video, audio, time-series processing, or interactive systems
Experience with C++, real-time systems, or game engines
Keywords: Neural Networks, Generative Models, Autoencoders, GANs, INR, Representation Learning, Procedural Generation, Autonomous systems
Expected Outcomes: Prototype software, demos, potentially publications and patents
Location : Rennes, France
Mentors: Gurvan Lécuyer, Quentin Galvane
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,…