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Research Intern – Array processing for ionospheric sounding

PARC, a Xerox company, is in the Business of Breakthroughs®. Practicing open innovation, we provide custom R&D services, technology, expertise, best practices, and intellectual property to Fortune 500 and Global 1000 companies, startups, and government agencies and partners. We create new business options, accelerate time to market, augment internal capabilities, and reduce risk for our clients. Since its inception, PARC has pioneered many technology platforms – from the Ethernet and laser printing to the GUI and ubiquitous computing – and has enabled the creation of many industries. Incorporated as an independent, wholly owned subsidiary of Xerox in 2002, PARC today continues the research that enables breakthroughs for our clients' businesses.

The Hardware Research and Technology Laboratory (HRTL) at the Palo Alto Research Center (PARC) is a group of multi-disciplinary scientists and engineers who enjoy the opportunity to invent and develop new technologies, foster innovation, and launch new businesses. Research in HRTL includes 3D printing, sensor systems for the IoT, carbon capture technology, applications of artificial intelligence, digital x-ray detection, life science instrumentation, robotics and much more. 

We are seeking an intern to support work on array data processing for ionospheric sounding. This is a new capability being added to an existing platform at PARC: an autonomous fleet of ocean-going floats instrumented with a variety of sensors. The ideal candidate is a graduate-level electrical engineering or physics student who is proficient in python and has had advanced training in signal processing as well as in electromagnetic wave theory. Familiarity with statistical array-processing and image-forming techniques is a plus. We expect to be able to host the intern on site.

  • Data extraction and conditioning from the cloud
  • Contribution to algorithm development for ionospheric sounding with full-matrix capture very high frequency (VHF) data
  • Implementation of algorithm in python

  • MS or PhD student in electrical engineering or applied physics
  • Graduate-level training in electromagnetic wave theory
  • Graduate-level training in statistical signal processing
  • Proficiency in python
  • Team player, self-motivated, comfortable reporting and presenting work