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

University of Tennessee

Job Description

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.

Responsibilities

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

Qualifications

A PhD in electrical or computer engineering is required and experience in the following areas is preferred:

  • 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

Though not required, an understanding of memristors and/or other nanoelectronic devices is also preferred, including 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.

Excellent oral and written communication skills and the ability to communicate effectively are also required.

To apply, please submit a resume, research statement (describing research experience and career plan), and two reference letters. Applications should be submitted [Here]

About Us

With over 225 years dedicated to education and research, and as one of the 100 largest employers in Tennessee, there is endless potential to discover at the University of Tennessee, Knoxville. This advanced academic center comprises 17 degree-granting colleges and schools, 900+ programs of study, 547 graduate programs, and is home to over 7,500 employees statewide who support the continued growth of the state’s flagship land-grant university. The University of Tennessee Institute of Agriculture, Anthropological Research Facility, Space Institute, and the UT Institute of Public Service are acclaimed entities of the UT system and with nearby affiliate, Oak Ridge National Laboratory, Rocky Top is a university on the rise. UT Knoxville considers its employees its number one asset and with values that focus on work-life balance, compensation, and innovative 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 that attract and retain a diverse community and that support a culture where everyone matters and belongs. Apply today and join the Vol Family for life!

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Confirmed 3 hours ago. Posted 30+ days ago.

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