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Dear All, Below is a scientific job opportunity at Dolby Laboratories San Francisco office that may be of interest to members of this community. For more information you may reach the
HR department through the Careers link where you can also find an active link to the posting: https://www.dolby.com/us/en/about/careers/landing.html. For any specific questions, please feel free to reach out to me directly: Best, Poppy Senior Staff Scientist, Computational Neuroscience
Science – Technology Strategy, San Francisco Advanced Technology Group Dolby Laboratories is looking for a self-motivated, talented individual interested in applying their theoretical and practical expertise in computational neural and psychophysical
data-driven modeling as well as expertise in biological system interface
to the development of innovative sensory-based technologies. This individual will work closely with scientists, developers, and a data collection team to innovate and develop new technologies that
enhance and optimize the human sensory experience. This position involves theoretical and data-driven computational development of innovative technologies. Computational development will be guided by neural or psychophysical
behavioral data with emphasis on multimodal and sensory integration as well as closed-loop biological interfaces. The position is in the Science Group – within the Technology Strategy department of Dolby Laboratories. It will involve work in close collaboration
with other scientists/technology developers/researchers in multiple locations. The individual should have expert skills working with novel data sets of various background origins and strong working knowledge of current machine learning methods applied to computational
models of perception. Ideal candidates have expertise in
application of probabilistic statistical modeling, machine learning, and multiple neural network architectures with a broad understanding of methodological approaches and proficiency in practice.
Ideal candidates should have experience in biological interface hardware with application to technological prototyping. An
applied understanding of optimization and dynamical systems is highly desired. Development will be informed by methods of experimental evaluation and sensor biometrics, including but not limited to, multimodal immersive environments, behavioral and consumer
analyses, and human physiological measures such as EEG, galvanic-skin conductance, thermal IR,
and pupillometry. Requirements:
Candidates must have these skills or background:
Also highly desirable is:
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