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Title

IS - Researcher (Wireless Sensing and Localization) 

Location Princeton, NJ  
Department Integrated Systems  

Description

Integrated Systems, located in Princeton, NJ and San Jose, CA, invites applications from exceptional candidates (senior-level or junior-level) for full-time research positions. Our mission is to innovate, design, prototype complex, real-time analytics systems, wireless localization and tracking, wireless sensing and 5G applications in domains like public safety, video surveillance, retail and transportation. We are actively engaged in cutting-edge research on wireless sensing, tracking and localization that cover both the algorithmic challenges and the design and development of end-to-end solutions. The solutions focus on practical problems in diverse domains ranging from public safety to digital health and industrial automation. The group is excited to grow in the following two domains.

 
Position Requirements

For wireless localization and tracking, the group is looking for highly motivated researchers with expertise in the broad area of low-power, embedded wireless systems, with a particular emphasis on the following skill sets:
• Innovate, design and build embedded wireless systems leveraging state-of-the-art IoT platforms with a keen focus on resource-constrained environments
• Expertise in low power RF circuit design 
• Experience with energy-harvesting, backscatter wireless systems is a plus
• Experience in integrating embedded wireless systems with application software to deliver end-to-end solutions
• M.S or Ph.D. in CS or EE/ECE and an active research record

For wireless sensing, the group is looking for a highly motivated researcher with expertise in the broad area of digital signal processing, embedded wireless systems, with a particular emphasis on the following skill sets:
• Innovate, design and build wireless sensing systems leveraging state-of-the-art radar, LiDAR, SONAR with a focus on resource-constrained environments
• Expertise/understanding of high-resolution wireless sensing technologies, e.g. mmWave and UWB for sensing of environment and human health characteristics 
• Experience in applying signal processing and machine learning techniques to raw signals and translating them to application-level inferences
• Experience in embedded/low-power systems e.g. low power systems, FPGAs, CPLDs is a plus
• M.S or  Ph.D. in CS or EE/ECE and an active research record

 

This position is currently accepting applications.

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