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The University of Texas at Arlington Portal logo
2 days ago
Full-time
On-site
Arlington, Texas, United States
Job Summary
The Department of Electrical Engineering in the College of Engineering at The University of Texas at Arlington invites applications for two tenure-track Assistant Professor positions. We are seeking outstanding candidates in the following two research areas: 1. Power Electronics 2. Semiconductor Devices and Emerging Computing Hardware In accordance with USCIS regulations, successful applicants must be legally able to accept work in the United States. We are unable to sponsor or take over sponsorship of an employment Visa at this time.

Essential Duties And Responsibilities
Teach undergraduate and/or graduate courses in electrical engineering Establish and maintain a vibrant, externally funded research program Publish high-quality scholarly articles Mentor undergraduate and/or graduate students and/or other researchers Contribute service at the department, college, university, and/or professional society levels

Required Qualifications
A Ph.D. in Electrical Engineering or a closely related field A proven record and/or strong potential for excellence in teaching and mentorship A proven record and/or strong potential for establishing and sustaining an externally funded research program and producing high-impact scholarship A proven record and/or strong potential for service

Preferred Qualifications
The successful candidate in the field of Power Electronics will have expertise that aligns with and complements the existing research strengths in the Power and Energy area in the Department of Electrical Engineering. We encourage applicants with expertise in power electronics circuits and systems, including, but not limited to, AI/data center power delivery, DC power systems, or grid-connected power electronics, to apply. The successful candidate in the field of Semiconductor Devices and Emerging Computing Hardware will have expertise that aligns with and complements the existing research strengths in the related area in the Department of Electrical Engineering. We encourage applicants with expertise in semiconductor device research, fabrication, and characterization, including, but not limited to, advanced CMOS or beyond- CMOS technologies for energy-efficient computing, neuromorphic computing, or AI hardware, to apply.