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

Knoxville, Tennessee


Employer: University of Tennessee
Industry: 
Salary: Competitive
Job type: Full-Time

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 position is available starting August 1, 2024 or until the position is filled. The Postdoctoral researcher will report to Dr. Garrett S. Rose. The compensation package includes a competitive salary, health benefits, career mentoring, and conference travel support.

Qualifications:

Qualifications

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

- Integrated circuit design and verification practice

- 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 task

- 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. Based on these qualifications, the successful candidate will be expected to:

- Take a leadership role in nanoelectronic circuit and system design effort

- Work closely with and mentor student researcher

- Present results at conferences, workshops and other meeting

- Publish in peer-reviewed journals on an annual basi

Please submit a resume, research statement (describing research experience and career plan), and two reference letters.

Created: 2024-07-03
Reference: 24000001DW
Country: United States
State: Tennessee
City: Knoxville
ZIP: 37918


Similar jobs: