AI Research Intern - Wireless Perception

Company Description

The Bosch Research and Technology Center North America with offices in Sunnyvale, California, Pittsburgh, Pennsylvania and Cambridge, Massachusetts is part of the global Bosch Group (www.bosch.com), a company with over 70 billion euro revenue, 400,000 people worldwide, a very diverse product portfolio, and a history of over 125 years. The Research and Technology Center North America (RTC-NA) is committed to providing technologies and system solutions for various Bosch business fields primarily in the areas of Human Machine Interaction (HMI), Robotics, Energy Technologies, Internet Technologies, Circuit Design, Semiconductors and Wireless, and MEMS Advanced Design.

We Are Bosch.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our areas of activity are every bit as diverse as our outstanding Bosch teams around the world. Their creativity is the key to innovation through connected living, mobility, or industry.

Let’s grow together, enjoy more, and inspire each other. Work #LikeABosch 

• Reinvent yourself: At Bosch, you will evolve.
• Discover new directions: At Bosch, you will find your place.
• Balance your life: At Bosch, your job matches your lifestyle.
• Celebrate success: At Bosch, we celebrate you.
• Be yourself: At Bosch, we value values.
• Shape tomorrow: At Bosch, you change lives.

Do you want beneficial technologies being shaped your ideas? Whether in the areas of mobility solutions, consumer goods, industrial technology or energy and building technology - with us, you will have the chance to improve quality of life all across the globe. Welcome to Bosch.

Job Description

At Bosch Research in Pittsburgh, we are looking for an enthusiastic research intern to develop novel solutions at the intersection of wireless perception and AI. More specifically, in this internship you will help develop novel AI-based solutions for improved spatiotemporal context awareness by leveraging wireless signals captured using Wi-Fi Channel State Information (CSI). Potential applications include human presence detection, activity recognition, and fine-grained behavioral understanding. The internship role will focus on the following responsibilities:

• Develop novel Wi-Fi-based perception algorithms using signal processing and AI-based techniques for improved context awareness.
• Evaluate the performance of the solution.
• Show a proof-of-concept demo.
• Summarize the findings and submit a high-quality research paper or a patent application.

Qualifications

Required Qualification:

• Currently enrolled as a PhD student in Computer Science, Electrical Engineering, Systems Engineering, or related fields.
• Strong background in wireless signal processing using Wi-Fi CSI.
• Broad knowledge of machine-learning, signal processing algorithms, and state-of-the-art methods.
• 2 years programming experience using Python and proficiency in PyTorch.
• Excellent communication skills.
• Minimum GPA of 3.0

Desired Qualification:

• Experience of smart home sensing using Wi-Fi CSI/RSSI.
• Experience of using Nexmon Wi-Fi CSI extraction tool.
• Publication records in leading venues (SenSys, IPSN, MobiSys, MobiCom, IMWUT, IROS).

Additional Information

Indefinite U.S. work authorized individuals only.  Future sponsorship for work authorization unavailable.

The U.S. base salary range for this intern position is $31.00 - $59.00 /hour. Within the range, individual pay is determined based on several factors, including, but not limited to, type of degree, work experience and job knowledge, complexity of the role, type of position, job location, etc. Your Hiring Manager can share more details about the specific salary range for this position during the interview process.

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.