Postdoctoral Associate

Job Description

Applications are invited for a Postdoctoral Research Associate position (non-tenure track) under Dr. Lingjia Liu (http://www.lingjialiu.ece.vt.edu) in Wireless@Virginia Tech, the Bradley Department of Electrical and Computer Engineering at Virginia Tech. The position involves conducting research in the space of signal processing, machine learning, and network optimization for Beyond 5G (B5G) and 6G networks.

Successful candidates will have chance to work with top-notched researchers/leaders from both academia and industry on future wireless systems spanning from novel physical layer waveforms designs to artificial intelligence-enabled networking protocols, from MIMO/ reflecting intelligent surfaces to network design using O-RAN/V-RAN, from statistical learning theory to USRP prototype for B5G systems.

The position's responsibilities include: conducting independent research in these spaces developing publications for top venues including journals, conferences, and workshops; mentoring PhD students to work in these spaces; and developing proposals to various funding agencies such as National Science Foundation (NSF), Department of Defense (DoD), National Spectrum Consortium (NSC), Commonwealth Cyber Initiative (CCI), etc.

Required Qualifications

- PhD degree in Electrical Engineering, Computer Engineering, Computer Science 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.
- A solid research record evidenced by high quality 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 a demonstrated capability of mentoring graduate students.

Preferred Qualifications

- System building experience (e.g., USRP, etc).
- Experience with O-RAN/V-RAN.

Appointment Type

Restricted

Salary Information

Commensurate with Experience

Review Date

7/10/21

Additional Information

The successful Candidate will be required to have a criminal conviction check

About Virginia Tech

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 the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

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, national origin, political affiliation, race, religion, sexual orientation, or veteran 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 Kathy Atkins at atkins@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: June 24, 2021
Applications close: