Post-Doctoral Research Associate: Department of Electrical Engineering and Computer Science - UTK

University of Tennessee Athletic Marketing Department

University of Tennessee Athletic Marketing Department

Other Engineering

Knoxville, TN, USA

Posted on May 19, 2026

The Min H. Kao Department of Electrical Engineering & Computer Science invites applications for a full-time Postdoctoral research position. The successful candidate will conduct research exploring nanoelectronic circuit design and approaches to nano-enabled computing, with particular emphasis on hardware implemented using CMOS/memristor integrated circuit technology. This work will include circuit-level design exploration, verification tasks, physical design, and device/circuit testing. The successful candidate will work in a team of researchers focused on all aspects of emerging nanoelectronic computing, including circuits, architectures and software. Specific application areas of interest include neuromorphic computing and hardware security.

The University of Tennessee, Knoxville, has shaped leaders, changemakers, and innovative thinkers since its founding in 1794. The university is home to more than 38,000 students and 10,000 statewide employees—the Volunteers—who uphold the university’s tradition of lighting the way for others through leadership and service.

UT Knoxville offers over 900 programs of study across 14 degree-granting colleges and schools. As Tennessee’s flagship land-grant university, its footprint spans the entire state. The university holds the highest Carnegie classification for research activity and has deep partnerships with industry leaders and the US Department of Energy’s largest multidisciplinary laboratory, Oak Ridge National Laboratory.

The Knoxville campus serves and recruits for UT Knoxville, including the Institute of Agriculture and the Space Institute, as well as the UT Institute of Public Service.

UT Knoxville considers its employees its number one asset. With values that focus on work-life balance, compensation, and innovation leadership, all Vols are supported to advance professionally. Employees have access to career development and coaching, continued education, and an extensive list of development and training possibilities. The Volunteer employee experience implements structures and practices to attract and retain top-tier talent, fostering a strong staff community and supporting a culture of involvement and engagement for everyone.

The university holds a strong commitment to its land-grant mission of learning and engagement, with a tradition of service and leadership that carries that Volunteer spirit throughout the state and around the world. It has been ranked nationally as “Best Employer for New Graduates,” “One of America’s Best Large Employers,” and “Best Workplace for Women,” and has been designated as “Best Place for Working Parents” by Forbes Magazine.

Apply today and join the Tennessee Volunteer community!
The successful candidate will conduct research exploring nanoelectronic circuit design and approaches to nano-enabled computing, with particular emphasis on hardware implemented using CMOS/memristor integrated circuit technology. This work will include circuit-level design exploration, verification tasks, physical design, and device/circuit testing.

Required Qualifications

Education:

  • A PhD in electrical or computer engineering

Experience:

  • Integrated circuit design and verification practices
  • Experience using industry-standard VLSI design tools, this could include the Cadence design suite (Virtuoso, Innovus, Spectre, etc.) or similar
  • Ability to develop and use scripting languages for automating large-scale design and verification tasks
  • Experience using hardware description languages (VHDL, Verilog, Verilog-A, etc.)
  • Programming experience using C/C++
  • Experimental device characterization and circuit-level testing

Preferred Qualifications

Experience:

  • An understanding of memristors and/or other nanoelectronic devices
  • Experience developing and using compact device models for circuit simulation.
  • A working understanding of brain-inspired or neuromorphic computing, including hardware approaches to machine learning, would be beneficial.

Knowledge, Skills, and Abilities:

  • Excellent oral and written communication skills
  • Ability to communicate effectively

Work Location

  • Location: Knoxville, TN

  • Onsite

Compensation and Benefits

  • Anticipated hiring range: $70,656

  • Find more information on UT Benefits here

Application Instructions

To express interest, please submit an application with the noted below attachments:

  • Resume

  • Research Statement (describing research experience and career plan)

  • Two professional reference letters

The successful candidate will be expected to:

  • Take a leadership role in nanoelectronic circuit and system design efforts

  • Work closely with and mentor student researchers

  • Present results at conferences, workshops and other meetings

  • Publish in peer-reviewed journals on an annual basis

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