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Google

PhD Student Researcher in Health AI, Time-Series Modeling, and Wearable Sensing at Google Google in United States

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

United States

University

Google

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Keywords

Computer Science
Biomedical Engineering
Mathematics
Artificial Intelligence
Software Engineering
Python Programming
Digital Health
Salud Pública
Statistics
Machine learning

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About this position

Google is looking for a PhD Student Researcher for a 6-month research appointment in Seattle, Washington, United States.

The project focuses on personalized, real-time, closed-loop interactions using Fitbit health sensing data. The selected student will help benchmark time-series models across physiological datasets, adapt models for live streaming data, and deploy them through a custom Fitbit app.

This opportunity is especially relevant for students working in machine learning, time-series modeling, scientific AI, wearable sensing, digital health, statistics, and mathematics. A strong math background is required, and software engineering experience is preferred. Required programming languages: Python and Kotlin.

This is a research appointment rather than a scholarship or degree admission call. The post does not mention funding details such as stipend or tuition coverage.

Interested candidates should complete the form linked in the post. The announcement was made by Samuel Solomon, a Health AI Researcher at Google.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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