Postdoctoral Associate, ESL

Job Description

The position involves conducting research in the space of signal processing, RF machine learning, secure communications, and radio engineering.

Successful candidates will have chance to work with top-notched researchers/leaders from both academia and industry on secure communications systems spanning novel physical layer waveforms design (emphasis on LPI, LPD, and AJ communications), efficient hardware implementation in software defined radios, applying machine learning techniques to the RF spectrum, and aspects of automotive cybersecurity.

The position's responsibilities include: conducting collaborative research in these spaces, developing publications for top venues including journals, conferences, and workshops; mentoring MS and PhD students to work in national security domains; and developing proposals to various funding agencies such as the Department of Defense (DoD), Intelligence Community (IC), DoD contractors, etc. All work will be performed in an ITAR-restricted lab.

Required Qualifications

- PhD degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, 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 IEEE/ACM/SIAM journals and/or top-tier IEEE/ACM/SIAM conferences.
- Strong theoretical background in mathematics and analytical thinking, demonstrated by a track record of fundamental research in signal processing, optimization and/or machine learning.
- Ability to pursue independent research and a demonstrated capability of mentoring graduate students.
- U.S. citizenship, to meet contractual requirements of restricted research tasking

Preferred Qualifications

Experience designing and/or testing software-defined radios and/or PHY-layer waveforms
- Experience participating in multi-disciplinary research teams
- Experience and/or interest in national security

Appointment Type

Restricted

Salary Information

Commensurate with experience

Review Date

August 20, 2021

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 Sue Kass at sjkass@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: July 29, 2021
Applications close: