PhD Research Intern - Neuroscience + AI; Fall

Position: PhD Research Intern - Neuroscience + AI (Fall 2026 United States
## PhD Research Intern - Neuroscience + AI (Fall 2026)
San Francisco, California,United States Apply Now Find out how well you match with this jobJob ID41527

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.
** Multimodal Experiences Lab - Advanced Technology Group
** We are seeking exceptional interns to join our cutting-edge research at the intersection of physiological measurement, computational neuroscience, and next-generation media experiences. You will have the opportunity to develop novel approaches to measuring user engagement through cardiovascular dynamics, neural activity, and other biosignal analysis to enable personalized, adaptive media content. As an intern, you will work closely with our team of researchers and scientists to advance the frontier of engagement-aware media systems that leverage AI and foundation models to adapt in real-time to user state and preferences derived from physiological data.
** What are we looking for in candidates?
** Along with your 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 understanding human perception and engagement with media. You have a desire to bring in new ideas and are open to learning from others and working in a team environment focused on transforming the future of entertainment experiences through AI-driven physiological understanding.

You may succeed in this role if you are a PhD candidate in neuroscience, biomedical engineering, computer science, or related fields, and you are excited about bridging physiological measurement with AI and media technology to create more engaging and personalized experiences.
** Example Responsibilities
*** Work collaboratively with our team to design and implement experiments measuring cardiovascular dynamics (heart rate variability, PPG) and autonomic physiology (EDA) during media consumption across different content types and viewing contexts.
* Develop EEG-based neural signature models for media components and events combining naturalistic media stimuli with AI-based content analysis.
* Create biosignal transfer learning approaches that establish robust mappings between high-fidelity neural signatures and accessible physiological measures from consumer wearable devices.
* Build foundation models for physiological data representation that can generalize across individuals, devices, and measurement contexts to enable scalable engagement prediction systems.
* Implement temporal engagement models to predict user state trajectories and optimize content adaptation timing for sustained engagement across diverse media experiences.
* Develop multimodal AI systems that integrate physiological signals, content features, and contextual information to predict and enhance user engagement in real-time media applications.
* Leverage large-scale physiological datasets to train foundation models that capture universal patterns in human engagement responses while preserving individual personalization capabilities.
* Contribute to the development of research papers, patents, and technical presentations advancing the field of AI-driven and…