Bosch Research and Technology in Pittsburgh is seeking a motivated student intern to join our research team exploring advanced machine learning applications in IoT and smart home systems. This position is part of an exciting effort to explore intelligent multi-modal sensing at the intersection of deep learning and signal processing, with projects spanning smart home automation, connected appliances, and innovative ways to enhance everyday user experiences. You will contribute to building, testing, and refining machine learning models for sensor data analysis and work alongside experienced researchers to translate innovative ideas into practical applications. 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.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.
