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Tenure-Track/Tenured Faculty Position in VLSI for AI (All Ranks)
Division of Electrical & Computer Engineering
School of Electrical Engineering and Computer Science
Louisiana State University - Baton Rouge, LA

The Division of Electrical & Computer Engineering (ECE) in the School of Electrical Engineering and Computer Science (EECS) at Louisiana State University (LSU) invites applications for a tenure-track or tenured faculty position at the Assistant, Associate, or Full Professor level in Very Large Scale Integration (VLSI) for Artificial Intelligence with an emphasis on low-power, energy-efficient, and secure architectures for intelligent systems.

As part of LSU ECE's strategic growth in AI hardware, autonomy, digital systems, and industrial innovation, the successful candidate will join a vibrant and expanding program at the state's flagship university.

Position Focus and Research Areas

We seek outstanding candidates whose research explores next-generation VLSI design and architectures that enable AI and machine learning at the edge and beyond. Areas of interest include, but are not limited to:

• Low-Power and Energy-Efficient VLSI Design for AI and ML accelerators
• Neuromorphic Computing Architectures
• In-Memory Digital and Analog (ReRAM, etc) Computing
• AI Hardware Security and Supply-Chain Attack Hardening.
• 3D Integration, Heterogeneous and Chiplet-Based Design

EDA and CAD for AI-Driven Circuit and System Design
Applicants with strong industrial R&D backgrounds or a record of translating research into silicon prototypes or commercial applications are particularly encouraged to apply.

Qualifications

Assistant Professor

• Ph.D. in Electrical Engineering, Computer Engineering, or a closely related field by the appointment date.
• Applicants who are all but dissertation (ABD) and will complete the Ph.D. by the time of appointment will be considered.
• Demonstrated potential for establishing an independent, externally funded research program in VLSI for AI or related areas.
• Strong potential for high-quality teaching and mentoring at the undergraduate and graduate levels.

Associate Professor

• Ph.D. in a relevant field with at least four years of professional experience beyond the Ph.D.
• A strong record of peer-reviewed publications and sustained external research funding.
• Demonstrated leadership in collaborative or interdisciplinary projects and evidence of effective teaching and graduate student supervision.
• Recognition at the national level for contributions to the field of VLSI, circuits, or AI hardware.
• Commitment to mentoring junior faculty and advancing the division's strategic goals.

Full Professor

• Ph.D. in a relevant discipline with at least eight years of professional experience beyond the Ph.D.
• A distinguished international reputation for scholarly excellence and impact.
• Proven track record of sustained research funding, high-impact publications, and technology transfer or industrial collaboration.
• Demonstrated academic leadership in shaping research programs, mentoring faculty, and advancing education.
• Evidence of significant contributions to professional societies or national initiatives in the field.

Responsibilities

• Develop and sustain a nationally and internationally recognized research program.
• Teach and develop undergraduate and graduate courses in VLSI, circuits, and hardware systems for AI.
• Supervise and mentor graduate (M.S./Ph.D.) and undergraduate students.
• Publish in top-tier journals and conferences (to be specified by the faculty).
• Engage in interdisciplinary collaborations across the College of Engineering and industry partners.
• Contribute to service and leadership at the division, college, university, and professional levels.

About the Division
Faculty in the ECE Division are actively engaged in cutting-edge research across power, communications, computing, control systems, and electronics, with six faculty members recognized as NSF CAREER awardees.

Additional Information

• Location: Baton Rouge, Louisiana
• Start Date: August 2026 (negotiable)
• Salary: Commensurate with qualifications and experience
• Application Review: Application review will start as soon as possible and will continue until the position is filled.

Campus interviews will be conducted in Baton Rouge prior to any offer.

Application Instructions

Applicants should submit the following materials online via the LSU Career Portal at https://lsu.wd1.myworkdayjobs.com/LSU/job/3330H-Patrick-F-Taylor-Hall/Assistant--Associate--or-Full-Professor--AI-Engineering-_R00112189-1

• Cover Letter
• Curriculum Vitae
• Research Statement
• Teaching Statement
• Names and contact information of at least three references

To apply, visit: https://lsu.wd1.myworkdayjobs.com/LSU/job/3330H-Patrick-F-Taylor-Hall/Assistant--Associate--or-Full-Professor--AI-Engineering-_R00112189-1





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