Postdoctoral Associate
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Job no: 534163
Work type: Research Faculty
Senior management: Greater Washington, D.C Area
Department: Institute for Advanced Computing
Location: Alexandria, Virginia
Categories: Engineering, Research / Scientific
Applications are invited for a full-time Postdoctoral Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless @ Virginia Tech, College of Engineering as well as the new Virginia Tech Institute for Advanced Computing (IAC) located in the Greater Washington, D.C. area.
The position involves conducting research in signal processing, machine learning, and network optimization for 6G networks and FutureG wireless networks. Successful candidates will have the chance to work with top-notch researchers from both academia and industry on future wireless systems spanning from novel physical layer waveforms designs (e.g., MIMO, OTFS) to artificial intelligence-enabled networking protocols; from reflecting intelligent surfaces (RIS)/integrated sensing and communications (ISaC) to network design using O-RAN; from statistical learning theory to software defined radio (e.g., USRP) prototypes.
The Bradley Department of Electrical and Computer Engineering has both Electrical and Computer Engineering Ph.D. programs. Both programs continuously rank top in the U.S. The latest Global Universities ranking by U.S. News & World Report (USN&WR) places the Virginia Tech ECE Department at #2 nationally in the Electrical and Electronic Engineering category.
• PhD degree in Electrical Engineering, Computer Engineering, or other related disciplines. PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
• Solid research record evidenced by publications in high-impact IEEE/ACM journals and/or top tier IEEE/ACM conferences.
• Strong theoretical background in mathematics and analytical thinking, demonstrated by a track record of fundamental research in signal processing, optimization and machine learning.
• Ability to pursue independent research and demonstrated capability of mentoring students.
• Strong background and experience in network optimization and evaluation especially for MIMO networks including massive MIMO, multi-user MIMO and distributed MIMO.
• Strong coding/programming skill (e.g., Python, C++, etc).
• Experience with O-RAN.
• Experience on network evaluation using ns-3.
• Experience with USRP prototypes.
Exempt: Not eligible for overtime
The successful candidate will be required to have a criminal conviction check.
Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges, a school of medicine, a veterinary medicine college, Graduate School, and Honors College. The university has a significant presence across Virginia, including Blacksburg, the greater Washington, D.C. area, the Health Sciences and Technology Campus in Roanoke, sites in Newport News and Richmond, and numerous Extension offices and research institutes. A leading global research institution, Virginia Tech conducts more than $650 million in research annually.
Virginia Tech endorses and encourages participation in professional development opportunities and university shared governance. These valuable contributions to university shared governance provide important representation and perspective, along with opportunities for unique and impactful professional development.
Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, ethnicity or national origin, political affiliation, race, religion, sexual orientation, or military status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.
If you are an individual with a disability and desire an accommodation, please contact Maura Gardner at maurag@vt.edu during regular business hours at least 10 business days prior to the event.
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