Careers at Virginia Tech

Postdoctoral Associate

Apply now Job no: 512651
Work type: Research Faculty
Senior management: College of Engineering
Department: Electrical and ComputerEngineering
Location: Blacksburg Area
Categories: Research / Scientific

Job Description

The Bradley Department of Electrical and Computer Engineering at Virginia Tech is seeking a highly motivated Postdoctoral Researcher to conduct research in the areas of hardware security and applications of deep learning in security analysis of embedded systems. Virginia Tech has a strong institutional commitment to the achievement of excellence and diversity among its faculty and staff, and strongly encourages candidates to apply who will enrich its academic and culturally inclusive environment.

The successful candidate will perform research in the area hardware security and security assessment techniques using deep learning, and develop deep learning methodologies for security assessment of embedded systems. Major themes of research include side-channel analysis using power and EM measurements with supervised and unsupervised learning techniques, application of deep learning in enabling and improving efficiency of fault attacks under simple adversary models, and finding countermeasures at different levels of circuit, architecture and algorithm. The candidate will support group work in the general area of signatures analysis of FPGA and embedded platforms, and may exercise functional supervision over supporting undergraduate and graduate researchers.

Required Qualifications

Applicants must have a PhD by the start date of the position in electrical engineering, computer engineering or computer science. Knowledge and experience in side-channel analysis, including power or fault injection attacks, or anomaly detection such Trojans or malware on FPGA, ASIC, or embedded microprocessors is required. In addition, understanding of different machine learning and deep learning algorithms for processing time-series signals and time sequences is necessary.

Preferred Qualifications

The preferred candidate will have strong background and experience in unsupervised learning and algorithms for learning with limited training sets. Knowledge and experience in the following areas are highly desirable:
- Digital design experience in FPGA or ASIC using VHDL or Verilog, including cryptographic applications.
- Understanding different types of fault attacks, including statistical and differential analysis, and the corresponding physical mechanisms allowing fault attacks on different hardware platforms.
- Understanding different types of countermeasures against side-channel analysis, including masking and private circuits, application of MACs against differential fault attacks, circuit level provisions against the attacks, and the underlying trade-offs and vulnerabilities of the countermeasures against different types of attacks.

Salary Information

Commensurate with experience

Review Date


Additional Information

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

About Virginia Tech

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.

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 accommodation please contact the hiring department.

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