Virginia Tech is a public land-grant university, committed to teaching and learning, research, and outreach to the Commonwealth of Virginia, the nation, and the world. Building on its motto of Ut Prosim (that I may serve), Virginia Tech is dedicated to InclusiveVT—serving in the spirit of community, diversity, and excellence. We seek candidates who adopt and practice the Principles of Community, which are fundamental to our on-going efforts to increase access and inclusion, and to create a community that nurtures learning and growth for all of its members. Virginia Tech actively seeks a broad spectrum of candidates to join our community in preparing leaders for the world.
Applications are invited for a Research Assistant Professor position (non-tenure track) with the Bradley Department of Electrical and Computer Engineering at Virginia Tech. The position involves conducting research in communication systems, with particular focus on the applications of machine learning techniques to communications. Research is intended to contribute to multiple externally sponsored projects in communications and networking.
The successful candidate will join Wireless @ Virginia Tech (Wireless@VT, https://wireless.vt.edu), an interdisciplinary research team consisting of faculty and students in electrical and computer engineering, computer science, and mechanical engineering. The successful candidate will have the opportunity to engage with the Center's industrial partners, as well as faculty from partner universities. Wireless@VT is a world leader in wireless research and education with a broad spectrum of research encompassing wireless communications and networking, including RF circuits, information assurance, signal processing and algorithm development, networking, antennas and propagation, communications theory, and modem hardware design. The center is especially known for its work in cognitive radio and advanced spectrum access technologies, and has a research program in wireless communications that dates back to the 1960's.
The main responsibilities include:
- Conducting independent research in communications and networking. - Writing top-quality papers for journals, conferences, and workshops. - Developing research proposals for obtaining externally sponsored research. - Recruiting and advising PhD and MS students on their dissertations and theses. - Serving on PhD and MS student dissertation and thesis committees. - Presenting research outcomes in conferences, workshops, and other such meetings.
- A Ph.D in electrical engineering, computer engineering, or a closely related field, with emphasis on communications/networking and/or machine learning earned prior to employment. - Research expertise in machine learning techniques and their applications to communications and networking. - Effective communication skills
- Ability to articulate a coherent agenda of collaborative research or scholarship and to identify potential funding sources to support such research. - Formal training in both communications and machine learning is highly desirable.
Employee Category: Research Faculty
Appointment Type: Restricted
Tenure Status: Non-Tenure Track
Percent Employment: Full-time
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.
Virginia Tech takes a hands-on, engaging approach to education, preparing scholars to be leaders in their fields and communities. As the commonwealth's most comprehensive university and its leading research institution, Virginia Tech offers 240 undergraduate and graduate degree programs to more than 31,000 students and manages a research portfolio of more than $513 million. The university fulfills its land-grant mission of transforming knowledge to practice through technological leadership and by fueling economic growth and job creation locally, regionally, and across Virginia.
Through a combination of its three missions of learning, discovery, and engagement, Virginia Tech continually strives to accomplish the charge of its motto Ut Prosim (That I May Serve).