Tenured/Tenure-Track Position Electrical Engineering and Computer Science (ML Accelerator Searc... jobs in United States
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Inside Higher Ed · 1 week ago

Tenured/Tenure-Track Position Electrical Engineering and Computer Science (ML Accelerator Searc...

The University of Tennessee, Knoxville (UTK) seeks exceptional candidates for a tenured/tenure-track faculty position in the Min H. Kao Department of Electrical Engineering and Computer Science (EECS) focusing on machine learning (ML) accelerators. The successful candidate will engage in research, teaching, and mentorship while contributing to a collaborative environment aimed at enhancing foundational AI research.

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Responsibilities

Conduct and publish scholarly research
Pursue funding to support an active research agenda
Teach undergraduate and graduate courses in electrical and/or computer engineering
Mentor graduate students
Participate in departmental service

Qualification

PhD in Computer ScienceMachine Learning AcceleratorsAI/ML Hardware ArchitecturesVLSI for AIInterdisciplinary CollaborationEffective Teaching SkillsMentoring Graduate StudentsResearch Funding Potential

Required

A PhD degree in Computer Science, Computer Engineering, or a related discipline at the time of appointment
For an Appointment at the Assistant Professor rank: The candidate is expected to show potential for obtaining funding for the research programs, and for participation in interdisciplinary teams
The candidate is also expected to show effective, high-quality teaching skills, and the ability to effectively mentor undergraduate and graduate students
For an Appointment at the Associate Professor rank: The candidate is expected to have conducted nationally/internationally recognized research works and show strong leadership potential
The candidate is also expected to show effective, high-quality teaching skills, and the ability to effectively mentor undergraduate and graduate students

Preferred

Previous experience working in the convergent areas of AI/ML and neuro-cognitive science, AI/ML and dynamical system analysis, representation learning, and uncertainty quantification with a tie to human intelligence

Company

Inside Higher Ed

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Inside Higher Ed is the online source for news, opinion, and jobs related to higher education.

Funding

Current Stage
Growth Stage
Total Funding
unknown
2022-01-10Acquired
2006-08-31Series Unknown

Leadership Team

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Stephanie Shweiki
Director, Foundation Partnerships
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