Bosch USA · 18 hours ago
Healthcare Sensing and Machine Learning Intern
Pittsburgh, PA
Internship
Onsite
InternBosch USA is a leading technology and services company dedicated to innovation and quality. They are seeking a motivated student intern to join their research team in Pittsburgh, contributing to the development of intelligent sensing technologies for digital health and machine learning models for health sensor data analysis.
EnergyRenewable EnergyStaffing Agency
Responsibilities
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)
Qualification
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
Preferred
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.
Company
Bosch USA
The Bosch Group’s strategic objective is to create solutions for a connected life.
Founded in 2004
10001+ employees
H1B Sponsorship
Bosch USA has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2021 (1)
2020 (9)
Funding
Current Stage
Late StageLeadership Team
Ulrike "Uli" Jaschek
CEO- Bosch Automotive Workshop Services LLC
Manuel Dietz
VP Bosch Digital | Regional CIO Americas
Company data provided by crunchbase