Research Intern
3 weeks ago
InterDigital is a global research and development company that focuses on wireless, video, artificial intelligence, and related technologies. We design and develop foundational technologies that enable connected, immersive experiences in a wide range of communications and entertainment products and services. 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.
We are looking for self-motivated students to work closely with our talent scientists on machine vision tasks. The prospective candidates are expected to conduct original research on critical technologies towards VR/AR, autonomous driving, robotic navigation, etc. Scientific publications would be highly encouraged from the internship work. The duration of the internship may vary between 3-6 months. Ph.D. students with a good publication record in signal processing, machine learning/deep learning are preferred.
As a popular data format for AR/VR, culture heritage, and modeling, mapping, and navigation systems, point clouds face challenges in real-time processing, scale of data amount, as well as its sparsity and irregularity. It is an exciting research area to study efficient representation for point clouds. Gaussian splatting, which demonstrates good potentials for high-quality view synthesis, utilizes point cloud as its representation. The prospective research intern(s) may focus on learning-based point cloud coding/processing related investigations.
You will work with a team of computer vision and image processing researchers and be considered as a full team member with supports.
Responsibilities:
- To identify technology challenges in the field related to point clouds;
- To propose novel and efficient ideas to address the challenges;
- To implement and verify the proposed methods;
- To wrap up the results into patent applications, publication drafts.
Ph.D. students with related research experiences are encouraged to apply. Research background in machine learning, deep learning, or computer vision would be highly appreciated. Research background in signal processing, image processing, graph-based data analysis would be appreciated. Experiences in point cloud processing/compression, especially on large scale and sparse point clouds, would be highly valued. Research experiences in view synthesis technologies, including NeRF and Gaussian Splatting, would be appreciated. Research experiences with diffusion models on image/point cloud tasks would be valued. Python/C++ programming, familiar with prevailing learning frameworks, e.g., PyTorch or TensorFlow, is required. Ability to wrap up technical reports and/or to prepare draft manuscripts for publications is essential. Capable of independent research while being a great team player is a must.
Keywords:
point cloud compression, computer vision, image processing, machine learning, deep learning, neural network, Gaussian Splatting, NeRF
Expected Outcomes:
In the end of internship, the expected deliveries include:
- Software modules for the proposed research ideas;
- Disclosures/patents;
- Publications are highly expected.
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.
A reasonable estimate of the current salary range specific to New York/CA is $40 - $55/hr and may include other forms of compensation components including benefits depending on the length of the assignment. Compensation for the role will depend on a number of factors, including a candidate's qualifications, skills, competencies and experience and may fall outside of the range shown.
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