The BRADLEY DEPARTMENT of ELECTRICAL and COMPUTER ENGINEERING

Faculty Positions Available | ECE | Virginia Tech

ECE People

The Bradley Department of Electrical and Computer Engineering is seeking applicants for the following positions:


Tenured/Tenure-track Position in Power Systems

The Power and Energy Center (PEC) in the Virginia Tech Bradley Department of Electrical and Computer Engineering (ECE) seeks applications for a tenured/tenure-track position at the rank of Assistant or Associate Professor in the area of Power Systems. There is a specific interest in technical challenges related to the future power grid. Examples include large-scale integration of renewable energy, microgrid, and distributed resources; distribution systems in a decentralized environment; HVDC applications; and cyber security of the power grid.

PEC at the ECE Department has a long tradition of global leadership in cutting-edge research and education. In recent decades, PEC researchers made a great impact on power engineering worldwide through the development of Phasor Measurement Units (PMUs) and computer relaying. With support from ECE and the institution, PEC is strongly committed to the future growth in research, education and industry/government collaboration. PEC collaborates closely with the highly distinguished VT Center for Power Electronics Systems (CPES) and Biocomplexity Institute.

The successful candidate will be expected to develop and maintain a nationally-recognized funded research program, teach undergraduate and graduate courses, and participate in department, college, and/or university service and outreach activities

Required Qualifications

  • An earned Ph.D. in Computer Engineering, Electrical Engineering, or a related field, completed prior to employment
  • Demonstrated excellence in research, scholarship, and teaching in electrical/computer engineering, or evidence of high potential for such excellence
  • Ability to articulate a coherent agenda of research or scholarship and to identify potential funding sources to support such research
  • Effective communication skills
  • Willingness and ability to work in a technology-based research and education environment, characterized by use of learning technologies, distance learning, online courses, video-conferencing, and network and grid-based collaborative research

Preferred Qualifications

  • Prior experience in the role of PI or Co-PI on funded research projects
  • Ability and willingness to work collaboratively with faculty from a variety of disciplines
  • Interest or experience in mentoring students, both undergraduate or graduate, in research
  • Interest or experience working effectively with a diverse student population

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, a research statement, a teaching statement, and a list of at least three references electronically to jobs.vt.edu. Apply to posting number TR0180102.

Please follow carefully the instructions found on the employment website regarding the application submission process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications sent via e-mail cannot be considered. Review of applications will begin November 15, 2018, and will continue until the position is filled with an appropriate candidate. The anticipated start date is August 2018.

Applications from women and other underrepresented populations in engineering are especially encouraged. Virginia Tech has a program designed to support the retention and advancement of female faculty; see www.advance.vt.edu. Individuals with disabilities desiring accommodation in the application process should notify K. Atkins, ECE Dept, (540) 231-4136 or TDD/PC 1-800-828-1120 or Voice 1-800-828-1140.

Virginia Tech is an Affirmative Action/Equal Opportunity Employer.

Full Job Listing and Application


Tenured/Tenure-track Position in Secure Hardware/Software Systems

The Bradley Department of Electrical and Computer Engineering at Virginia Tech seeks applications for an open rank position, specifically in the area of Secure Hardware/Software Systems, including (but not limited to) Cryptographic Engineering, Security and Privacy Design, Cross-disciplinary Secure Systems for the Internet of Things and the Cloud, Secure and Ultra-low Power Computer Architectures, Design Automation and Formal Verification of Cryptography for the Internet of Things and the Cloud. This position is based in Northern Virginia.

The successful candidate would be expected to collaborate with existing Virginia Tech ECE faculty with expertise covering hardware security, tamper-resistant secure implementations, secure embedded systems design, VLSI and System-on-Chip design, computer security, low-power and energy-efficient implementation of hardware and software, wireless systems, and RF IC design. Beyond the ECE department, the university has world-class research activities in machine learning, robotics, data analytics, integrated security, intelligent infrastructure, transportation, advanced manufacturing, and medical sciences.

The successful candidate will be expected to develop and maintain a nationally-recognized funded research program, teach undergraduate and graduate courses, and participate in department, college, and/or university service and outreach activities.

Required Qualifications:

  • An earned Ph.D. in Computer Engineering, Electrical Engineering, or a related field, completed prior to employment
  • Demonstrated excellence in research, scholarship, and teaching in electrical/computer engineering, or evidence of high potential for such excellence
  • Ability to articulate a coherent agenda of research or scholarship and to identify potential funding sources to support such research
  • Effective communication skills
  • Willingness and ability to work in a technology-based research and education environment, characterized by use of learning technologies, distance learning, online courses, video-conferencing, and network and grid-based collaborative research

Preferred Qualifications:

  • Prior experience in the role of PI or Co-PI on funded research projects
  • Ability and willingness to work collaboratively with faculty from a variety of disciplines
  • Experience in working with students as academic or career advisor, overseeing student internships or service-learning activities
  • Interest or experience in mentoring students, both undergraduate or graduate, in research
  • Interest or experience working effectively with a diverse student population

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, and a list of at least three professional references with complete contact information.

Applicants must apply electronically to https://jobs.vt.edu posting number TR0180101. Please follow carefully the instructions found on the employment website regarding the application process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications submitted via e-mail will not be considered. Review of applications will begin November 15, 2018. The anticipated start date is January 2019. For further information, please contact Dr. Luke F. Lester, Professor and Head, 302 Whittemore Hall, Blacksburg, VA 24061, (540) 231-7494.

Virginia Tech is an Equal Opportunity/Affirmative Action employer.

Full Job Listing and Application


Tenured/Tenure-track Position in Machine Perception for Autonomous Systems

The Bradley Department of Electrical and Computer Engineering at Virginia Tech seeks applications for a tenured/tenure-track position in Computer Engineering, at the rank of Assistant or Associate Professor, specifically in the area of perception for autonomous systems, including (but not limited to) deep learning, knowledge representation & reasoning, reinforcement learning, reasoning under uncertainty, and their applications to perception in robotics and autonomy. This position is based in Blacksburg, Virginia.

The successful candidate will be expected to develop and maintain a vigorous, nationally recognized, funded research program. There are rich opportunities for collaboration with existing strengths across the University. The successful candidate will also be expected to teach undergraduate and graduate courses, and participate in service and outreach activities for the Department, College, and/or University. More broadly, the successful candidate should contribute to Virginia Tech's growing strength and leadership in Machine Learning research, education, and outreach.

Required Qualifications

  • An earned Ph.D. in Computer Science, Computer Engineering, Electrical Engineering, or a related field, completed prior to employment
  • Effective communication skills
  • Demonstrated excellence in research, scholarship, and teaching, or evidence of high potential for such excellence
  • Ability to articulate a coherent agenda of research and scholarship, and to identify potential funding sources to support such research
  • Willingness and ability to work in a technology-based research and education environment, such as is characterized by use of learning technologies, distance learning, online courses, video-conferencing, and network and grid-based collaborative research

Preferred Qualifications

  • Prior experience in the role of PI or Co-PI on funded research projects
  • Ability and willingness to work collaboratively with faculty from a variety of disciplines
  • Interest or experience in mentoring students, both undergraduate or graduate, in research
  • Interest or experience in working effectively with a diverse student population

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, a research statement, a teaching statement, and a list of at least three references electronically to jobs.vt.edu. Apply to posting number TR0180119. Please follow carefully the instructions found on the employment web site regarding the application submission process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications sent via e-mail cannot be considered. Review of applications will begin January 15, 2019, and will continue until the position is filled with an appropriate candidate. The anticipated start date is August, 2019.

Applications from women and other underrepresented populations in engineering are especially encouraged. Virginia Tech has a program designed to support the retention and advancement of female faculty; see www.advance.vt.edu. Individuals with disabilities desiring accommodation in the application process should notify K. Atkins, Bradley Department of Electrical and Computer Engineering, (540) 231-4136 or TDD/PC 1-800-828-1120 or Voice 1-800-828-1140.

Virginia Tech is an Affirmative Action/Equal Opportunity Employer.

Full Job Listing and Application


ECE Masters of Engineering Program (MEng) - Cybersecurity, Power Engineering, and/or Robotics & Autonomy.

The Bradley Department of Electrical and Computer Engineering (ECE) at Virginia Tech seeks applications for a full-time, academic year, non-tenure-track Collegiate Faculty who will be a member of the ECE Masters of Engineering (MEng) degree program. This position will be based in Blacksburg or Northern Virginia.

This Collegiate Faculty position will be at the rank of assistant or associate or full professor. These are non-tenure track and in either a three, five, or seven year appointments. Collegiate Faculty mentor students, teach courses, support undergraduate or graduate research, and contribute to the overall development and assessment of academic programs. Collegiate Faculty are expected to participate in department, college and university service, committee work, to pursue a program of personal, funded research, including research into aspects of teaching and learning, and other duties as assigned.

The successful candidate will be a member of a group of faculty responsible for teaching and advising students enrolled in the MEng program. Interaction with industry, national laboratories and/or government agencies is also required.

Required Qualifications:

  • A PhD degree in electrical or computer engineering, computer science, or a closely related field and previous teaching experience at the graduate level in ECE or a related field.
  • A strong record of academic accomplishments and a proven ability to work collaboratively
  • Experience with and commitment to interdisciplinary research and instruction and a willingness to cross disciplinary boundaries to address complex technical and societal challenges
  • Effective communication skills.

Preferred Qualifications:

  • Previous academic experience teaching in the technical areas of Cybersecurity, Power Engineering, and/or Robotics & Autonomy.
  • Interest and experience in advising, mentoring, and working effectively with a diverse student population.
  • Willingness and ability to work in a high-tech environment, such as online instruction and distance learning.
  • Experience working in academia and collaborating with industry.
  • Experience working with industry to facilitate student project funding.

Duties and responsibilities include:

Teaching and Mentorship (70% time)

  • Teach graduate courses in the ECE MEng program.
  • Assist in the coordination and scheduling of course offerings for the MEng program.
  • Support curriculum development at the graduate level.
  • Mentor students towards completion of their MEng design project.
  • Coordinate the advisement of MEng students towards the timely completion of their degree.

Research (20% time)

  • Maintain a program of personal, funded research in an area related to electrical and computer engineering.
  • Undertake research related to MEng design projects.

Departmental, College and University Service (10% time)

  • Participate in departmental, college and university service, committee work, and perform other administrative duties.

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, and a list of at least three professional references with complete contact information.

Applicants must apply electronically to https://jobs.vt.edu to posting number TR0180118. Please follow carefully the instructions found on the employment website regarding the application process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications submitted via e-mail will not be considered. Review of applications will begin December 15, 2018. The anticipated start date is August 2019. For further information, please contact MengSearchChair@vt.edu.

Full Job Listing and Application


ECE Masters of Engineering Program (MEng) - Machine Learning

The Bradley Department of Electrical and Computer Engineering (ECE) at Virginia Tech seeks applications for a full-time, academic year, non-tenure-track Collegiate Faculty who will be a member of the ECE Masters of Engineering (MEng) degree program and teach courses primarily related to Machine Learning. This position will be based in Blacksburg or Northern Virginia.

This Collegiate Faculty position (non-tenure, renewable) will be at the rank of assistant or associate or full professor. These are non-tenure track and in either a three, five, or seven year appointment. Collegiate Faculty mentor students, teach courses, support undergraduate or graduate research, and contribute to the overall development and assessment of academic programs. Collegiate Faculty are expected to participate in department, college and university service, committee work, to pursue a program of personal, funded research, including research into aspects of teaching and learning, and other duties as assigned.

The successful candidate will be a member of a group of faculty responsible for teaching and advising students enrolled in the MEng program. Interaction with industry, national laboratories and/or government agencies is also required.

Required Qualifications:

  • A PhD degree in electrical or computer engineering, computer science, or a closely related field and previous teaching experience in the technical area of Machine Learning at the graduate level in ECE or a related field.
  • A strong record of academic accomplishments and a proven ability to work collaboratively
  • Experience with and commitment to interdisciplinary research and instruction and a willingness to cross disciplinary boundaries to address complex technical and societal challenges
  • Effective communication skills.

Preferred Qualifications:

  • Previous academic experience.
  • Interest and experience in advising, mentoring, and working effectively with a diverse student population.
  • Willingness and ability to work in a high-tech environment, such as online instruction and distance learning.
  • Experience working in academia and collaborating with industry.
  • Experience working with industry to facilitate student project funding.

Duties and responsibilities include:

Teaching and Mentorship (70% time)

  • Teach graduate courses in the ECE MEng program.
  • Assist in the coordination and scheduling of course offerings for the MEng program.
  • Support curriculum development at the graduate level.
  • Mentor students towards completion of their MEng design project.
  • Coordinate the advisement of MEng students towards the timely completion of their degree.

Research (20% time)

  • Maintain a program of personal, funded research in an area related to electrical and computer engineering.
  • Undertake research related to MEng design projects.

Departmental, College and University Service (10% time)

  • Participate in departmental, college and university service, committee work, and perform other administrative duties.

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, and a list of at least three professional references with complete contact information.

Applicants must apply electronically to jobs.vt.edu to posting number TR0180122. Please follow carefully the instructions found on the employment website regarding the application process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications submitted via e-mail will not be considered. Review of applications will begin December 15, 2018. The anticipated start date is August 2019. For further information, please contact MengSearchChair@vt.edu.

Full Job Listing and Application


Honors ECE Boeing Faculty

The Virginia Tech Honors College is developing the Calhoun Honors Discovery program: a signature program on collaborative transdisciplinary learning focused on technology innovation for societal impact. The program was established by a founding gift from David Calhoun. The program also leverages significant industry support and participation.

The Discovery program will be developed and realized by a faculty cohort that includes: dedicated Honors College faculty, professors of practice from industry and courtesy faculty from collaborating Department at Virginia tech. As part of building this faculty cohort, the Honors College and the Department of Electrical and Computer Engineering seek a versatile instructor with a background in electrical and computer engineering (ECE). Applicants should possess an interest in developing educational modules on ECE topics for non-ECE majors, working in interdisciplinary teams with ECE majors, and researching and advancing transdisciplinary problem solving and learning with industry participation. Applicants should have experience in engineering education, project based learning, and design of complex systems.

This is a Collegiate Faculty position (non-tenure, renewable) at the rank of assistant or associate professor. The appointee will mentor highly motivated Honors students, teach honors courses, lead collaborative problem solving studios and related undergraduate research, collaborate with the industry partners of the program and contribute to the overall development of Discovery program and the Honors College. The appointee will be expected to participate in college- and university-level service, committee work, and other duties as assigned, and to pursue a program of personal, funded research, that engages aspects of collaborative, transdisciplinary teaching and learning. Each Discovery Program Faculty will hold courtesy status with one of the core participating departments in the Discovery program. The appointee in this position will hold a courtesy status with the Department of Electrical and Computing Engineering and facilitate the connections of the Department to the Program. This position is being supported by Boeing, the first founding industry partner of the Discovery Program, and the appointee will carry the title Boeing Collegiate Professor of the Calhoun Honors Discovery program.

Required Qualifications:

  • A terminal degree in electrical and computer engineering or closely related field.
  • A demonstrated thorough theoretical and conceptual knowledge in a discipline related to electrical and computer engineering or closely related field.
  • A strong record of academic accomplishments and the proven ability to work collaboratively.
  • Proven ability to teach undergraduate courses in both thematic and methods topics.
  • Experience with and commitment to interdisciplinary research and instruction and a willingness to cross disciplinary boundaries to address complex societal challenges in a transdisciplinary manner.
  • Demonstrated ability to mentor undergraduate students in developing interdisciplinary capacities.

Preferred Qualifications:

  • Expertise in electrical and computer engineering as part of an interdisciplinary design team with applications beyond ECE, such as business, social sciences, design, arts, or interactive systems.
  • Expertise in project based learning, interdisciplinary studio based instruction and engineering education.
  • Research experience in inter and transdisciplinary learning.
  • A desire to advise and teach a highly motivated student body drawn from a broad spectrum of disciplines and from diverse backgrounds.
  • An interest in professional ethics and social responsibility.
  • Experience working with a dynamic, diverse, and highly motivated undergraduate student body drawn from a broad spectrum of disciplines.
  • A commitment to diversity in the university community.
  • Experience in industry collaborations.

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, and a list of at least three professional references with complete contact information.

Applicants must apply electronically to https://jobs.vt.edu posting number TR0180094. Please follow carefully the instructions found on the employment website regarding the application process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications submitted via e-mail will not be considered. Review of applications will begin September 15, 2018. The anticipated start date is January 2019. For further information, please contact Dr. Luke F. Lester, Professor and Head, 302 Whittemore Hall, Blacksburg, VA 24061, (540) 231-7494.

Virginia Tech is an Equal Opportunity/Affirmative Action employer.

If you are an individual with a disability and desire accommodation please contact the hiring department or contact University ADA Services with any questions.

Full Job Listing and Application


Director of the Blacksburg ECE Masters of Engineering Program (MEng)

The Bradley Department of Electrical and Computer Engineering (ECE) at Virginia Tech seeks applications for a full-time, calendar or academic year, non-tenure-track Collegiate Faculty member who will serve as the Director of the Blacksburg ECE Masters of Engineering (MEng) degree program.

This Collegiate Faculty position (non-tenure, renewable) will be at the rank of Collegiate Associate or Collegiate Professor. Collegiate Faculty mentor students, teach courses, support undergraduate or graduate research, and contribute to the overall development and assessment of academic programs. Collegiate Faculty are expected to participate in department, college and university service, committee work, to pursue a program of personal, funded research, including research into aspects of teaching and learning, and other duties as assigned.

The successful candidate will lead a group responsible for the curriculum and assessment of the MEng program in coordination with ECE department leadership. Interaction with industry, national laboratories and government agencies is also required.

Duties & Responsibilities:

Student Recruitment, Teaching, and Mentorship (70% time)

  • Work with ECE faculty and staff and the Virginia Tech Graduate School in the area of MEng admissions.
  • Coordinate course offerings and scheduling for the MEng program.
  • Lead curriculum development and assessment of the program.
  • Mentor students towards completion of their MEng design project.
  • Coordinate the advisement of MEng students towards the timely completion of their degree.

Research (20% time)

  • Maintain a program of personal, funded research in an area related to electrical and computer engineering.
  • Undertake research related to MEng design projects.

Departmental, College and University Service (10% time)

  • Participate in departmental, college and university service, committee work, and perform other administrative duties.

Required Qualifications:

  • A PhD degree in electrical or computer engineering, computer science, or a closely related field and previous teaching experience at the graduate level in ECE or a related field are required.
  • Previous curriculum development and assessment experience.
  • A strong record of academic accomplishments and a proven ability to work collaboratively.
  • Experience with and commitment to interdisciplinary research and instruction and a willingness to cross disciplinary boundaries to address complex technical and societal challenges.
  • Effective communication skills.

Preferred Qualifications:

  • Previous academic administrative experience.
  • Interest and experience in advising, mentoring, and working effectively with a diverse student population.
  • Willingness and ability to work in a high-tech environment, such as online instruction and distance learning.
  • Experience working in academia and collaborating with industry.
  • Experience working with industry to facilitate student project funding.

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, and a list of at least three professional references with complete contact information.

Applicants must apply electronically to https://jobs.vt.edu posting number TR0180083. Please follow carefully the instructions found on the employment website regarding the application process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications submitted via e-mail will not be considered. Review of applications will begin September 15, 2018. The anticipated start date is January 2019. For further information, please contact Dr. Luke F. Lester, Professor and Head, 302 Whittemore Hall, Blacksburg, VA 24061, (540) 231-7494.

Virginia Tech is an Equal Opportunity/Affirmative Action employer.

If you are an individual with a disability and desire accommodation please contact the hiring department or contact University ADA Services with any questions.

Full Job Listing and Application


Director of the Northern Virginia ECE Masters of Engineering Program (MEng)

The Bradley Department of Electrical and Computer Engineering (ECE) at Virginia Tech seeks applications for a full-time, academic year, non-tenure-track Collegiate Faculty member who will serve as the Director of the Northern Virginia ECE Masters of Engineering (MEng) degree program.

This Collegiate Faculty position (non-tenure, renewable) will be at the rank of assistant or associate or full professor. Collegiate Faculty mentor students, teach courses, support undergraduate or graduate research, and contribute to the overall development and assessment of academic programs. Collegiate Faculty are expected to participate in department, college and university service, committee work, to pursue a program of personal, funded research, including research into aspects of teaching and learning, and other duties as assigned.

The successful candidate will lead a group responsible for the recruitment, teaching and advising of MEng students in the National Capital Region in coordination with ECE department leadership. Interaction with local industry, national laboratories and government agencies is also required.

Duties & Responsibilities:

Student Recruitment, Teaching, and Mentorship (60% time)

  • Work with ECE faculty and staff and the Virginia Tech Graduate School in the area of MEng admissions.
  • Market the MEng degree program in Northern Virginia and internationally.
  • Coordinate course offerings and scheduling for the MEng program with emphasis on the needs of the students based in Northern Virginia.
  • Teach graduate courses in ECE.
  • Mentor students towards completion of their MEng design project.
  • Coordinate the advisement of MEng students in Northern Virginia towards the timely completion of their degree.

Research (30% time)

  • Maintain a program of personal, funded research in an area related to electrical and computer engineering.
  • Undertake research related to MEng design projects.

Departmental, College and University Service (10% time)

  • Participate in departmental, college and university service, committee work, and perform other administrative duties.

Required Qualifications:

  • A PhD degree in electrical or computer engineering, computer science, or a closely related field and previous teaching experience at the graduate level in ECE or a related field are required.
  • A strong record of academic accomplishments and a proven ability to work collaboratively.
  • Experience with and commitment to interdisciplinary research and instruction and a willingness to cross disciplinary boundaries to address complex technical and societal challenges.
  • Effective communication skills.

Preferred Qualifications:

  • Previous academic administrative experience.
  • Previous curriculum development and assessment experience.
  • Interest and experience in advising, mentoring, and working effectively with a diverse student population.
  • Willingness and ability to work in a high-tech environment, such as online instruction and distance learning.
  • Experience working in academia and collaborating with industry.
  • Experience working with industry to facilitate student project funding.

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, and a list of at least three professional references with complete contact information.

Applicants must apply electronically to https://jobs.vt.edu posting number TR0180082. Please follow carefully the instructions found on the employment website regarding the application process. Unfortunately, we are unable to accept paper applications. Paper applications or electronic applications submitted via e-mail will not be considered. Review of applications will begin September 15, 2018. The anticipated start date is January 2019. For further information, please contact Dr. Luke F. Lester, Professor and Head, 302 Whittemore Hall, Blacksburg, VA 24061, (540) 231-7494.

Virginia Tech is an Equal Opportunity/Affirmative Action employer.

If you are an individual with a disability and desire accommodation please contact the hiring department or University ADA Services with any questions.

Full Job Listing and Application


Instructor or Assistant Professor of Practice for Instructional Laboratories

The Bradley Department of Electrical and Computer Engineering is seeking to fill multiple Instructor or Assistant Professor of Practice for Instructional Laboratories. We are seeking candidates to organize and teach the practical aspects of undergraduate electrical and computer engineering, primarily at the sophomore and junior levels. The successful candidate(s) must have significant experience designing, building, and testing analog or digital circuits, enjoy interacting with students, and have good organizational and management skills. Responsibilities will include developing new experiments and projects to incorporate into courses, teaching undergraduate courses, training and supervising Teaching Assistants and Undergraduate Mentors, acting as a subject matter expert for student projects, and purchasing lab equipment and supplies. The position will involve other duties, as assigned, but will not involve a research component.

Required Qualifications:

  • M.S. degree in Electrical or Computer Engineering
  • Significant experience designing, building, and testing either analog or digital circuits
  • Experience integrating analog and digital (FPGA, microcontroller) circuits
  • Strong desire to teach students the practical aspects of electrical and computer engineering

Preferred Qualifications:

  • Experience managing others or leading a team
  • Teaching experience as a lead instructor
  • Experience in an area outside basic electrical or computer engineering, for example, RF/microwaves, power/machines, audio electronics, embedded systems, internet of things, etc.
  • Able to arrange and set up lab equipment and furniture if required

The Application Process: Qualified applicants must submit a letter of application, a curriculum vita, research statement, teaching statement, and a list of at least three references electronically to jobs.vt.edu to posting number TR0180152. Please carefully follow the instructions regarding the online application submission process. Paper applications or electronic applications sent via e-mail cannot be considered. Review of applications will begin December 1, 2018 and will continue until the position is filled with an appropriate candidate. The anticipated start date is August 10, 2019.

Applications from women and other underrepresented populations in engineering are especially encouraged. Virginia Tech has a program designed to support the retention and advancement of female faculty; see www.advance.vt.edu. Individuals with disabilities desiring accommodation in the application process should notify K. Atkins, ECE Dept, (540) 231-4136 or TDD/PC 1-800-828-1120 or Voice 1-800-828-1140.

Full Job Listing and Application