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University of California, San Francisco

Postdoctoral Position in Wearable Sensing, Machine Learning, Digital Health, and Cognitive Neuroscience at UCSF Neuroscape University of California, San Francisco in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

A 2-year postdoctoral position through a collaboration between UCSF Neuroscape and Samsung. The fellow will split time approximately 50% at UCSF Neuroscape in San Francisco and 50% with the Samsung research team in Mountain View.

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Country

United States

University

University of California, San Francisco

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Keywords

Computer Science
Psychology
Biomedical Engineering
Electrical Engineering
Neuropsychology
Digital Health
Neurocognition
ML

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About this position

UCSF Neuroscape is advertising a 2-year postdoctoral position in collaboration with Samsung.

The project sits at the intersection of wearable sensing, machine learning, digital health, and cognitive neuroscience. The fellow will work with rich longitudinal wearable data, plus cognitive, behavioral, and multimodal datasets collected through Neuroscape. A strong quantitative/computational background is preferred, along with experience in machine learning and physiological signal processing, ideally including PPG and wearable sensor data.

The role is especially suited to candidates interested in neuroscience, computer science, biomedical engineering, and related data-driven research. The postdoc will be embedded across both environments, spending about half the time at UCSF Neuroscape in San Francisco and half with the Samsung research team in Mountain View.

This opportunity is aimed at graduating PhD researchers or current postdocs who want to work at the interface of academic neuroscience, wearable technology, and industry research.

For full details and application instructions, use the application link in the post.

Funding details

A 2-year postdoctoral position through a collaboration between UCSF Neuroscape and Samsung. The fellow will split time approximately 50% at UCSF Neuroscape in San Francisco and 50% with the Samsung research team in Mountain View.

What's required

Applicants should have a strong quantitative/computational background and experience with machine learning and physiological signal processing, ideally including PPG and wearable sensor data. The post is aimed at graduating PhD holders or current postdocs with interest in wearable sensing, digital health, cognitive neuroscience, and multimodal longitudinal data analysis.

How to apply

Open the full position description and application details using the linked short URL. Review the posting and submit an application through the provided application instructions.

More information can be found here

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