Multi-Modal Cyber-Physical Sensing Intern jobs in United States
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Bosch USA · 2 weeks ago

Multi-Modal Cyber-Physical Sensing Intern

Bosch USA is a leading technology and services company dedicated to innovation and quality. They are seeking a motivated student intern for their Research and Technology Center in Pittsburgh to explore advanced machine learning applications in IoT and smart home systems, contributing to the development of multi-modal sensing solutions.

EnergyRenewable EnergyStaffing Agency
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H1B Sponsor Likelynote

Responsibilities

Assist in research and development of multi-sensor data fusion techniques using data such as acoustic, vibration, radar, lidar, image, Wi-Fi, time series, and ultrasound signals
Support the design, training, and evaluation of multi-modal machine learning models for smart home, IoT, or manufacturing use cases
Collaborate with cross-functional teams to help prototype and test new sensing solutions
Document and communicate research findings clearly, contributing to internal reports, presentations, and potential publications or patents
Stay up-to-date with emerging technologies and assist in exploring novel applications for IoT and smart home systems

Qualification

Machine LearningDeep LearningPythonPyTorchTensorFlowData ScienceSignal ProcessingIoTEnthusiasm for LearningCommunication SkillsCollaboration

Required

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

Preferred

Experience using raw sensor data (eg. Radar, acoustic etc.) in machine learning projects
Knowledge of digital signal processing principle and methods, multimodal representation learning
Publication record in top machine learning and signal processing venues
Experience with additional programming languages (C, C++) or embedded systems
Interest in computer systems, networking, or signal processing

Benefits

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

Company

Bosch USA

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The Bosch Group’s strategic objective is to create solutions for a connected life.

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 Stage

Leadership Team

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Ulrike "Uli" Jaschek
CEO- Bosch Automotive Workshop Services LLC
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Manuel Dietz
VP Bosch Digital | Regional CIO Americas
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Company data provided by crunchbase