Government Careers
  • Postdoctoral Associate

  • Virginia Polytechnic Institute and State University (VT)
  • Alexandria, Virginia 22350 United States View Map

Job DescriptionApplications are invited for a full-time Postdoctoral Research Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless@Virginia Tech, and the new Institute for Advanced Computing (IAC) located at the Washington DC metro. The position involves conducting research in federated learning and network optimization for 6G/FutureG wireless networks, especially on the Internet of Intelligent Things. Work will be conducted under the supervision of Dr. Lingjia Liu ( Successful candidates will collaborate with top-notched researchers from academia and industry on future wireless systems spanning from novel physical layer waveforms designs (e.g., MIMO, OTFS) to online real‑time neural receiver, from reflecting intelligent surfaces (RIS) and integrated sensing and communications (ISaC) to network design using O‑RAN, and from statistical learning theory to software‑defined radio prototypes (e.g., USRP).The Bradley Department of Electrical and Computer Engineering hosts both Electrical and Computer Engineering Ph.D. programs constantly ranked among the top in the U.S. The latest Global University ranking by U.S. News & World Report (USNWR) places the ECE Department at #2 nationally in the Electrical and Electronic Engineering category.The position is based at Virginia Tech Academic Building One in the greater Washington, D.C. area and offers opportunities to collaborate with industry partners and government research organizations. For more information, please visit: QualificationsPh.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.Demonstrated research expertise in federated learning, differential privacy, machine learning for the Internet of Things, or related areas.Strong analytical, problem‑solving, and programming skills.Written communication skills demonstrated through peer‑reviewed publications, technical reports, or research manuscripts.Preferred QualificationsStrong coding/programming skills (e.g., Python, C++).Experience with USRP prototypes.Experience with Nvidia computing platform.Experience collaborating in interdisciplinary research teams.Additional DetailsOvertime Status: Exempt – Not eligible for overtime.Appointment Type: Restricted.Salary: $70,000.Hours per week: 40.Review Date: 5/4/2026.Additional Information: The successful candidate will be required to have a criminal conviction check.Legal NoticesVirginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex, 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 Stuart Cline at stuart90@vt.edu during regular business hours at least 10 business days prior to the event.#J-18808-Ljbffr

Job DescriptionApplications are invited for a full-time Postdoctoral Research Associate position within the Bradley Department of Electrical and Computer Engineering, Wireless@Virginia Tech, and the new Institute for Advanced Computing (IAC) located at the Washington DC metro. The position involves conducting research in federated learning and network optimization for 6G/FutureG wireless networks, especially on the Internet of Intelligent Things. Work will be conducted under the supervision of Dr. Lingjia Liu ( Successful candidates will collaborate with top-notched researchers from academia and industry on future wireless systems spanning from novel physical layer waveforms designs (e.g., MIMO, OTFS) to online real‑time neural receiver, from reflecting intelligent surfaces (RIS) and integrated sensing and communications (ISaC) to network design using O‑RAN, and from statistical learning theory to software‑defined radio prototypes (e.g., USRP).The Bradley Department of Electrical and Computer Engineering hosts both Electrical and Computer Engineering Ph.D. programs constantly ranked among the top in the U.S. The latest Global University ranking by U.S. News & World Report (USNWR) places the ECE Department at #2 nationally in the Electrical and Electronic Engineering category.The position is based at Virginia Tech Academic Building One in the greater Washington, D.C. area and offers opportunities to collaborate with industry partners and government research organizations. For more information, please visit: QualificationsPh.D. in Electrical Engineering, Computer Engineering, Computer Science, or a closely related field.PhD must be awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.Demonstrated research expertise in federated learning, differential privacy, machine learning for the Internet of Things, or related areas.Strong analytical, problem‑solving, and programming skills.Written communication skills demonstrated through peer‑reviewed publications, technical reports, or research manuscripts.Preferred QualificationsStrong coding/programming skills (e.g., Python, C++).Experience with USRP prototypes.Experience with Nvidia computing platform.Experience collaborating in interdisciplinary research teams.Additional DetailsOvertime Status: Exempt – Not eligible for overtime.Appointment Type: Restricted.Salary: $70,000.Hours per week: 40.Review Date: 5/4/2026.Additional Information: The successful candidate will be required to have a criminal conviction check.Legal NoticesVirginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex, 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 Stuart Cline at stuart90@vt.edu during regular business hours at least 10 business days prior to the event.#J-18808-Ljbffr

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