PhD Research Intern - Imaging Research (Summer 2025)

Key Skills

3D CAD, Arduino, Computer Vision (CV), Deep Learning, LightGBM, Machine learning techniques, NVIDIA Jetson, Responsible AI

Job Description

Join the leader in entertainment innovation and help us design the future. The Advanced Technology Group (ATG) is the research division of the company. ATG’s mission is to look ahead, deliver insights, and innovate technological solutions that will fuel Dolby’s continued growth. As a valued member of the Dolby team, you’ll see and hear the results of your work everywhere, from movie theaters to smartphones. We continuously push the boundaries of audio, imaging, and cloud technology to create spectacular entertainment experiences. 

As a diverse and dynamic group, our ATG researchers work on cutting-edge projects related to computer science and electrical engineering for audio, video, and cloud technologies, exploring exciting domains such as AI/ML, algorithms, digital signal processing, audio processing, image processing, computer vision, AR/VR, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

What is the Research Internship Program? 

As a Research Intern at Dolby, you will have the opportunity to define and lead your own pioneering research project that connects big-picture change with the meticulous detail of technological innovation. Our intern research projects are driven by a greater purpose: enhancing the human experience.

With the guidance of Dolby’s leading media technology experts, you will delve into your own innovative projects across exciting domains, which could include, but not limited to: Bringing Human Perception into Digital Experiences, Personalizing Content, Enhancing Wellbeing and Healthcare, Nurturing Deeper Connections, and Enhancing Education and Learning Experiences.

This opportunity will be based out of our research offices in Sunnyvale, CA.

What are we looking for in candidates?

We are seeking current PhD students with a diverse range of backgrounds and experiences. To be eligible, you should have completed at least one year of your doctoral program. Along with solid technical skills, candidates should demonstrate problem-solving and analytical abilities, good communication and collaboration skills, a curiosity for how and why things work as they do, and a passion for audio, video, movies, music, or game technology. You have a desire to bring in new ideas and are open to learning from others.

Summary of Position:

We are a key research team within Dolby’s Advanced Technology Group, focused on creating cutting edge imaging technologies that drive next generation consumer experiences.

Requirements:

• Working towards a PhD in Electrical Engineering, Computer Science, or related field.

• Demonstrated application of computer vision methods to real-world problems.

• Solid background in the theory of image/video processing, and mathematics.

• Proven ability to demonstrate results through projects, prototypes, patent filings, and papers in peer reviewed journals and conferences.

• Proficiency in MATLAB, C/C++, or Python

• Excellent written and verbal communication skills.

Highly Desired Experience in one of the following:

• Machine learning applied to computer vision problems

• Image processing with new sensors: RGB, SPAD, Event-based sensors

• Image capture, fusion

• Color science and human perception, cross-modal or multi-modal perception

• Machine learning/deep learning-based video compression approaches

• Volumetric video representations, novel view synthesis (3D, NeRF, light field, Gaussian Splatting) and compression.

• Novel computer graphics techniques for image rendering

• Video pre-/post-processing algorithms with deep learning

• Semantic computer vision

• Multi-modal (combination of video, audio, 360, 3D) representations and algorithms

• Human machine interface; sensor, identification/recognition/tracking, computer vision, and deep learning, measuring engagement

• Experience with hardware prototyping platforms (Arduino, Raspberry Pi, Jetson)

• Practical experience in one or more of the aforementioned innovation zones