Multi-modal Sensing AI Research Intern at Bosch Group

The Bosch Research and Technology Center North America with offices in Sunnyvale California Pittsburgh Pennsylvania and Cambridge Massachusetts is a part of the global Bosch Group a company with over 90 billion euro revenue 400000 employees worldwide a very diverse product portfolio and a history spanning over 125 years. The Research and Technology Center North America provides technologies and system solutions for various Bosch business fields primarily in the field of artificial intelligence (for example human-assisted AI natural language processing robotics 3D perception and AI platform) energy technologies internet technologies circuit design semiconductors and wireless as well as advanced MEMS design.The Bosch Research and Technology Center in Pittsburgh PA is focused on the research and development of cutting-edge AI and sensing technologies that will shape the future of the companys products. This position is part of an ambitious effort to design and develop intelligent multi-modal sensing at the intersection of deep learning and signal processing with diverse application domains ranging from physical security to intelligent and connected vehicles.Job Description:Develop state-of-the-art multi-modal models for active (radar ultrasound) and passive sensing (acoustic vibration EEG) use-cases using combination of classical signal processing and machine/deep learning-based approaches.Research and develop solutions for multi-modal representation learning and modality adaptation with paired / unpaired sensor data.Collaborate with other researchers to evaluate the developed model on downstream applications.Summarize research findings in high-quality paper and/or patent submissions.Qualifications : Currently enrolled as PhD student in Computer Science Electrical Engineering or related fields.2 years programming experience proficiency in PyTorch(Lightning) HuggingFace(transformers) hydra.Broad knowledge of machine- and deep-learning algorithms and principles and state-of-the-art methods.Preferred Qualifications:Experience using raw sensor data (eg. Radar ultrasound 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 HPC platforms and job managers (Slurm IBM LSF).Additional Information : Equal Opportunity Employer including disability / veterans.*Bosch adheres to Federal State and Local laws regarding drug-testing. Employment is contingent upon the successful completion of a drug screen and background check. Candidates who have been offered the position must pass both screenings before their start date. Remote Work : NoEmployment Type : Full-time Key Skills Robotics,Machine Learning,Python,AI,C/C++,Data Collection,Research Experience,Signal Processing,Natural Language Processing,Computer Vision,Deep Learning,Tensorflow Experience: years Vacancy: 1