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    Computational Neuroscience Intern - San Francisco, United States - Dolby Laboratories

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    Description

    Join the leader in entertainment innovation and help us design the future. The Dolby U internship program offers impactful, project-based work experience in a collaborative, creative environment where you work side by side with industry leaders. Amplify your insatiable curiosity by implementing real-world solutions that revolutionize how people communicate and how entertainment is created, delivered, and enjoyed worldwide. We offer a collegial culture, challenging projects, and excellent compensation and benefits, not to mention a Flex Work approach that is truly flexible to support where, when, and how you do your best work. For any student seeking to gain invaluable expertise through meaningful, personal contributions, we invite you to join us in continuing to design a future where technology meets entertainment

    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. Our researchers have a broad range of expertise related to computer science and electrical engineering, such as AI/ML, algorithms, digital signal processing, audio engineering, image processing, computer vision, data science & analytics, distributed systems, cloud, edge & mobile computing, computer networking, and IoT.

    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 audio, video, movies, music, or game technology. You have a desire to bring in new
    ideas and are open to learning from others and working in a team.
    You may succeed in this role if you are a PhD candidate in neuroscience, computer science, or related
    fields, and you actively develop immersive virtual worlds as a tool to explore perception and how our
    brains interface with technology.
    Responsibilities
    - Work collaboratively with our team to design immersive virtual environments that deliver
    complete audiovisual experiences, possibly incorporating other senses such as haptics.
    - Implement experiments in the fields of computational neuroscience, perception science and
    multimodal AI to understand human interactions in virtual environments.
    - Collect and analyze multimodal data using state-of-the-art tools and techniques including eye
    tracking, EEG and biometric sensors.
    - Develop and implement algorithms and techniques for signal processing and analysis of human
    experiential data.
    - Incorporate subjective data from human perception experiments into machine learning models
    to improve their scope, accuracy, and performance.
    - Participate in regular team meetings and present your findings to teams across Dolby.
    - Contribute to the development of research papers, patents, and presentations.
    Requirements
    - Currently pursuing a PhD degree in neuroscience, computer science, electrical engineering,
    cognitive science, biomedical engineering, or a related field.
    - Strong development skills in realtime gaming/simulation engines such as Unreal and experience
    working with audio and visual elements of virtual environments.
    - Experience with volumetric video rendering to 2D screens and HMDs, and with audio rendering
    pipelines using binaural or multichannel spatial audio.
    - Strong programming and prototyping skills in Python, Matlab, or similar languages.
    - Versatility with machine learning techniques and algorithms.
    - An understanding of scientific research and experimental design, hypothesis testing, and
    collection of perceptual and experiential data.
    - Analytical skills and the ability to manipulate, visualize, and extract meaning from diverse and
    novel data sets.
    - Excellent communication and teamwork skills.
    - Ability to work independently and take initiative.
    Benefits
    - Gain hands-on experience in cutting-edge research in multimodal perception and computational
    neuroscience.
    - Work alongside experienced engineers, researcher and scientists specializing in AI, acoustics,
    vision science, neuroscience, and human perception.
    - Develop skills in immersive world construction, experimental design, data collection, analysis,
    and interpretation.
    If you are passionate about neuroscience, multimodal perception, and immersive world construction
    using realtime engines, we encourage you to apply for this internship. We welcome applicants from
    diverse backgrounds and are committed to creating an inclusive and supportive work environment.
    We recognize that applying to internships can be a daunting process, especially if you have not had any
    previous internships, or if this is a new field of interest to you. Even if you do not have previous
    professional experience to meet the listed qualifications, we will consider relevant project, volunteer,
    and extracurricular experiences, and we encourage you to include them on your resume and apply.
    Eligibility:
    Working towards a PhD in neuroscience, computer science, electrical engineering, cognitive science,
    biomedical engineering, or a related field; recent grads who are within 6 months of graduation are also
    eligible to apply. Must be available to work full-time Monday – Friday for 3 months between September
    2024 – December 2024.
    Start date for the internship is as follows: (*note* this date is not flexible)

    • Monday, September 23, 2024

    The San Francisco/Bay Area base hourly range for this internship position is $44-57/hrand can vary if outside of this location. Our hourly ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific hourly range and perks and benefits for your location during the hiring process.

    Dolby will consider qualified applicants with criminal histories in a manner consistent with the requirements of San Francisco Police Code, Article 49, and Administrative Code, Article 12

    Equal Employment Opportunity:
    Dolby is proud to be an equal opportunity employer. Our success depends on the combined skills and talents of all our employees. We are committed to making employment decisions without regard to race, religious creed, color, age, sex, sexual orientation, gender identity, national origin, religion, marital status, family status, medical condition, disability, military service, pregnancy, childbirth and related medical conditions or any other classification protected by federal, state, and local laws and ordinances.



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