Facebook Wireless Communications PhD Research Intern

Publish Date: Aug 16, 2016


Facebook was built to help people connect and share, and over the last decade our tools have played a critical part in changing how people around the world communicate with one another. With over a billion people using the service and more than fifty offices around the globe, a career at Facebook offers countless ways to make an impact in a fast growing organization.
The candidate will conduct research for Project Aries with emphasis on connectivity metrics in the context of the internet.org project. As part of the Aries (massive MIMO) team, the candidate will help develop theory, algorithms, and simulations relating to advanced digital wireless communication concepts. We believe connecting the world is one of the greatest challenges of our generation, and that everyone deserves access to the knowledge, tools and opportunities that come from being connected. That’s why we, along with other tech companies, launched Internet.org, a global partnership to make the Internet available to the two thirds of the worlds population that doesn’t have it. The Connectivity Lab team has been working on developing new platforms for connectivity on the ground, in the air and in orbit. For all of these systems, the team is looking at Free-space optical communication, a way of using light to transmit data through space using invisible, infrared laser beams. To make this a reality, we need to scale our infrastructure and ensure that it operates efficiently so that we can deliver innovate services. Join us as we build the technical foundation upon which the world shares and connects.


  • Develop theory, algorithms, and simulations relating to advanced digital wireless communication concepts


  • Current Ph.D student in Electrical Engineering or related discipline
  • Prior research work and strong understanding of multiple-input multiple-output (MIMO) systems, particularly multi-user massive MIMO systems
  • Strong background in digital signal processing (DSP), estimation theory, optimization, and random matrix mathematics
  • Understanding of orthogonal frequency division multiplexing (OFDM), and multi-user MIMO-OFDM systems
  • Familiarity with phased-array antenna theory, RF concepts, and link-budget analysis
  • Must be proficient in the use of MATLAB for simulations
  • Peer-reviewed publications in the relevant field is a plus
  • Familiarity with wireless standards including LTE and 802.11 preferred
  • Familiarity of mutual coupling effects in antenna arrays
  • Prior work on TDD calibration methods preferred
  • Hardware experience with software defined radios (SDR) a plus


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United States