Jobs · Information Technology · Virginia

CCI xG Testbed Research Intern Pool

Virginia Tech Academy of Data Science · Arlington, VA · 2 days ago
Information TechnologyFull-time

About the role

The Commonwealth Cyber Initiative (CCI), located in Arlington – Ballston (Northern Virginia), is seeking highly-motivated and focused R&D students to contribute to the CCI xG Testbed Vision on advanced wireless communication network and autonomous systems.

Responsibilities

  • Support the proof-of-concept development
  • Administer laboratory inventory on a daily basis
  • Configure and deploy software and hardware
  • Maintain and develop new functionalities on the CCI xG Testbed webpage

Requirements

  • Experience with computer networking and wireless communication
  • Experience with software development (C, C++, Java, Python, MatLab, etc.)
  • Currently an undergraduate student majoring in Electrical Engineering or Computer Science

Preferred Qualifications

  • Experience with signal propagation
  • Experience with 5G technologies (network virtualization, mobile edge computing, cloud computing)
  • Experience with Internet of Things
  • Experience with radio communication
  • Experience with machine learning
  • Understanding of computer network

Benefits

The successful candidate will be part of CCI’s proficient and motivated xG Testbed research team, led by Dr. Aloizio DaSilva, to carry out cutting-edge and impactful work in the following topics: traditional computer network stack, wireless network infrastructure, and Software Defined Radio for cellular communication networks.

Pay

The pay band is 4.

Schedule

The appointment type is restricted.

Qualifications

Required qualifications include experience with computer networking and wireless communication, experience with software development, and being a currently an undergraduate student majoring in Electrical Engineering or Computer Science. Preferred qualifications include experience with signal propagation, 5G technologies, Internet of Things, radio communication, machine learning, and understanding of computer network.

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