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Empire Innovation Professor, Electrical Engineering

Position Information

Position Title: Empire Innovation Professor, Electrical Engineering
Department: Electrical Engineering
Posting Link: https://www.ubjobs.buffalo.edu/postings/59459

Posting Detail Information

Position Summary

The Department of Electrical Engineering (EE) at University at Buffalo invites candidates to apply for a faculty position as Full Professor to be known as Professor of Empire Innovation. Highly qualified candidates at the Associate Professor level are also strongly encouraged to apply. Selected candidates will receive support through the SUNY Empire Innovation Program (EIP) which recognizes high caliber faculty with proven track records of externally funded research. We invite applications from prominent leaders in areas of microelectronics circuits.

Research topics of interest include, but are not limited to: Low-power logic and memory devices and circuits Non-CMOS based low-power circuit design AI hardware designs High-frequency, RF and THz (mm wave) circuit design Power-management IC design Analog and mixed signal circuit design

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Teaching Professor (all ranks) School of Integrated Engineering

Description
The Ira A. Fulton Schools of Engineering at Arizona State University (ASU) seek an energetic individual for a position of Teaching Professor (all ranks) in our new School of Integrated Engineering at the ASU West Valley campus in Phoenix, Arizona. A Ph.D. in electrical, mechanical, engineering education, or related discipline is required, and industry experience is preferred.

At ASU, we are in the process of transforming engineering education with innovative models and modalities to make excellent education more accessible for all. As a part of this process, we created a new School of Integrated Engineering in 2024, which offers degrees that holistically integrate engineering content and mindsets with other disciplines. We currently offer Engineering Science degrees with concentrations in Business and Microelectronics and have additional undergraduate and graduate programs under development.

Job duties include designing new and

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Job Description Summary

The Auburn University Department of Industrial & Systems Engineering (ISE) invites applications for a tenure-track position at the rank of Assistant, Associate, or Full Professor with a start date of August 16, 2026. A strong emphasis will be placed on candidates whose research and teaching expertise include, but are not limited to, AI-Manufacturing, Machine Learning (ML), Data Analytics, and Quality, Statistics, and Reliability (QSR), with preference given to those applying data analytics and ML in manufacturing contexts. Candidates are expected to have a strong theoretical and practical understanding of modern ML, including concepts, methods, tooling, and workflows. Successful candidates should be able to teach classes at the graduate and undergraduate levels in the areas of data analytics, quality statistics, and advanced manufacturing.

Specific areas of research interest include Industry 4.0, AI/ML-driven manufacturing, manufacturing system design and development (including machine-to-machine networking and

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School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.

Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.

For more details, please view: https://www.ntu.edu.sg/eee

We are looking for a Senior Research Fellow/Research Fellow(SRF/RF) to carry out research in robotics and machine learning by exploring cutting-edge approaches such as learning-based robot perception,

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