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Michigan State University

Department Chairperson, Electrical and Computer Engineering

Snapshot

Are you ready to shape the future of Electrical and Computer Engineering at a premier land-grant institution? Michigan State University invites bold and strategic academic leaders to apply for Chairperson of the Department of Electrical and Computer Engineering—a thriving hub of innovation and impact.

Position Summary

Michigan State University (MSU) seeks a dynamic and visionary leader to serve as Chairperson of the Department of Electrical and Computer Engineering (ECE) in the College of Engineering. We invite applications and nominations from distinguished educators and scholars ready to shape the future of electrical and computer engineering at MSU. This leadership role offers the opportunity to drive innovation, foster academic excellence, and guide a collaborative team dedicated to groundbreaking research and education. As an integral member of the College’s academic leadership, the Chairperson will oversee departmental operations

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Faculty Position in Computing: Educational Scholar

Queen’s University

January 2026

The School of Computing at Queen’s University invites applications for a teaching- and education-focused, tenure-track faculty position at the rank of Assistant Professor, with specialization in Computational Intelligence and applications in Software Engineering and/or Cybersecurity. The preferred start date for the appointment is January 1, 2026.

This is a teaching-focused appointment with a primary focus on delivering exceptional undergraduate and graduate education. The normal teaching load is five courses per year (approximately 70% of the overall workload), with the remaining time devoted to research/scholarship and service.

Qualifications

Candidates must have a PhD or equivalent degree completed at the start date of the appointment. The successful candidate will provide evidence of:

Scholarly work and/or teaching experience applying Artificial Intelligence in Software Engineering and/or Cybersecurity; Strong potential for outstanding teaching contributions at both the

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Faculty Position in Computing: Computational Intelligence

Queen’s University

January 2026

The School of Computing at Queen’s University invites applications for a faculty position at the rank of Assistant or Associate Professor that centres on Computational Intelligence. The preferred start date for the appointment is January 1, 2026.

 Qualifications

Candidates must have a PhD or equivalent degree completed at the start date of the appointment. The successful candidate will provide evidence of high-quality scholarly output that demonstrates a track record of independent research leading to high-quality peer assessed publications and the securing of external research funding, as well as strong potential for outstanding teaching contributions at both the undergraduate and graduate levels, and an ongoing commitment to academic and pedagogical excellence in support of the department’s programs. Candidates must provide evidence of an ability to work collaboratively in an interdisciplinary and student-centred environment. The

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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

Artificial Intelligence (AI) related fields, including machine learning, computer vision, adaptive data modelling, and computational imaging. The objective is to develop state-of-the-art machine learning algorithms for solving

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