PhD Data Science & ML Intern — Wearable Motion AI

Procter & Gamble; Kentucky; On-site; USD 16,000 - 24,000; Full time

Job summary

Procter & Gamble in Mason, KY invites a PhD candidate to join the CF R&D Data Science and AI team for a 12-week, in-person internship focused on machine learning for wearable sensing and full-body motion reconstruction. You will work across R&D, Brand, and Product Development to translate research into usable tools.

The role emphasizes deep learning, sensor data, and collaboration with cross-functional teams to shape product design and user experience.

Qualifications

• Education: Working towards a PhD in Computer Science, Electrical Engineering, Biomedical Engineering, Robotics, Applied Mathematics / Statistics / Physics (with relevant ML and sensor-data experience).
• Research experience in machine learning for time-series data, Human Activity Recognition, wearable sensing, or multi-modal sensor fusion.
• Strong Python programming skills and hands-on experience with PyTorch or TensorFlow.
• Available to work a 12-week internship from May/early June to August 2027; in-person at Mason Business Center, five days a week.

Responsibilities

• Review the state of the art in full-body motion reconstruction from wearable sensors to inform modeling and sensor design choices for the project.
• Determine optimal sensor configurations – type, number, and placement – for a range of motion reconstruction tasks.
• Design, build, and refine deep learning models that convert IMU and EMG signals into accurate full-body motion.
• Evaluate models on public/internal datasets, analyze assumptions and failure modes.
• Deliver a production-ready application that lets internal researchers upload recordings, run inference, and visualize results.

Skills

Python

PyTorch

TensorFlow

Machine Learning

Wearable Sensing

IMU

EMG

Education

PhD candidate in CS/EE/BME/Robotics/Applied Math / Stats / Physics

Tools

PyTorch

TensorFlow

Job description

Procter & Gamble in Mason, KY invites a PhD candidate to join the CF R&D Data Science and AI team for a 12-week, in-person internship focused on machine learning for wearable sensing and full-body motion reconstruction. You will work across R&D, Brand, and Product Development to translate research into usable tools.

The role emphasizes deep learning, sensor data, and collaboration with cross-functional teams to shape product design and user experience.