Healthcare Sensing and Machine Learning Intern

Job Description

Job Title: Healthcare Sensing and Machine Learning Intern

Bosch Location: Pittsburgh, PA

Fields of work: Others

Join as: Student (Intern)

Starting date: According to arrangement

Working time: Full-time

Legal entity: Robert Bosch LLC

Job posted: 2026-02-09

JobID: REF277264J

About The Role:

Bosch Research and Technology in Pittsburgh is actively seeking a motivated student intern to join its dynamic research team. This exciting position is dedicated to exploring the immense potential of intelligent sensing for digital health. The work spans from leveraging ambient and wearable sensors to the cutting-edge development of physiological foundation models. The intern will play a crucial role in building, testing, and refining machine learning models for health sensor data analysis. You will have the opportunity to work alongside experienced researchers, translating innovative ideas into practical applications for monitoring and decision support/augmentation in healthcare.

Your tasks:

• Assist in the research and development of multi-sensor data fusion techniques using data from ambient and wearable sensors, including time-series data and other health-related signals.
• Support the design, training, and evaluation of multi-modal machine learning models for health monitoring, caregiver dashboards, and proactive diagnostic systems.
• Collaborate with cross-functional teams to help set up, prototype, and test new health monitoring solutions.
• Document and communicate research findings clearly, contributing to internal reports, presentations, and potential publications or patents.
• Stay up-to-date with emerging technologies in digital health and assist in exploring novel applications (e.g., elderly care technologies).

Your profile:

Required:

• Currently pursuing a PhD in Computer Science, Electrical Engineering, Computer Engineering, Biomedical Engineering, Data Science, or a related technical field.
• Minimum GPA of 3.0.
• Broad knowledge of machine- and deep-learning algorithms and principles and state-of-the-art methods.
• Proficiency in Python and experience with ML frameworks such as PyTorch or TensorFlow.
• Familiarity with sensors, IoT devices, or cyber-physical systems.
• Strong communication skills and an ability to work collaboratively in a research environment.
• Enthusiasm for learning and applying new technologies to solve real-world healthcare challenges.

Desired:

• Experience with health-related research or using raw sensor data (e.g., IMU, radar, ECG, EKG, etc.) in machine learning projects.
• Knowledge of digital signal processing principles and methods for biomedical signals.
• Interest or experience in digital health, aging-in-place technologies, or healthcare data analysis.
• Research experience on Hybrid Models and Neuro-Symbolic AI, including mechanistic modeling and machine learning, using parametric and nonparametric models, methods that compress structured symbolic knowledge to integrate with neural patterns (and reason using the integrated neural patterns).
• Experience with additional programming languages (C, C++) or embedded systems for sensor setup.
• Publication record in top machine learning, signal processing, or digital health venues.

Benefits:

• Hands-on experience with cutting-edge health-sensing and machine learning research.
• Mentorship from experienced researchers in AI, IoT, and cyber-physical systems.
• Opportunity to contribute to real-world projects with potential impact on products and processes.

Contact & additional information:

Bosch is an Equal Opportunity Employer, including disability / veterans. Employment is contingent upon the successful completion of a drug screen and background check.

At Bosch, we care; for you, our business, and our environment. We shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our responsibility goes far beyond ‘business’; our success directly benefits society, the environment, and future generations. We grow together, enjoy our work, and inspire each other.

Location benefits (Pittsburgh):

• Bosch dining areas
• Business travel accident insurance
• Associate discounts
• Zero landfill standard
• Emergency travel assistance services
• Language class
• Will preparation service
• Employee Assistance Program (EAP)
• Social and hobby clubs
• Child care discounts
• Smart work model
• Parking & pool cars / e-Bikes
• Wellness incentives