Publisher
source

Google

PhD Student Researcher Position in Real-Time 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
Electrical Engineering
Biology
Artificial Intelligence
Software Engineering
Digital Health
Medical Science
Statistics
Machine learning

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About this position

A PhD Student Researcher position is available at Google, United States, for a 6-month research appointment in Seattle, Washington.

The project focuses on real-time health AI with emphasis on personalized health sensing, time-series modeling, wearable sensing, scientific AI, and digital health. The work includes benchmarking time-series models across physiological datasets, adapting models for live streaming data, and deploying them through a custom Fitbit app.

Relevant research interests include personalized health AI, real-time closed-loop interactions, Fitbit health sensing data, physiological data analysis, live streaming health data, machine learning for digital health, and software-oriented deployment of health models.

Applicants with backgrounds in Machine Learning, Time-Series Modeling, Scientific AI, Wearable Sensing, Digital Health, Software Engineering, or related areas are encouraged to apply. A strong math background is highly valued, and experience with software engineering is preferred. Required coding languages include Python and Kotlin.

Interested candidates should apply through the provided form link. No deadline, funding package, or tuition details are specified in the post.

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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