AI and Machine Learning Assistant Professor/Professional Practice Assistant Prof

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AI and Machine Learning Assistant Professor/Professional Practice Assistant Professor
Requisition ID: 2024-8433
# of Openings: 2
Location: US-UT-Logan
Category: Faculty
position Type: Benefited Full-Time
Job Classification: Faculty
College: College of Engineering
Department: Electrical & Computer Engineering
Advertised Salary: Commensurate with experience, plus excellent benefits
Overview
Utah State University’s Department of Electrical and Computer Engineering (ECE) invites applications to fill two faculty positions in Artificial Intelligence and Machine Learning (AI/ML): one tenure-track position (research and teaching) and one professional practice position (teaching emphasis). It is expected that these positions will be filled at either the Assistant or Associate Professor level. We seek applicants with cross-disciplinary backgrounds whose expertise lies at the intersection of AI/ML and electrical engineering. Preference will be given to applicants whose research and/or work experience applies AI/ML to problems in electrical engineering including but not limited to:

• Signal processing, communications, radar
• Control, robotics, drones/UAVs
• Electromagnetics, antennas
• Speech and natural language processing
• Remote sensing, computer vision
• Electric power systems
• Cybersecurity, computer networks, cryptography

The search committee will begin reviewing applications on November 1, 2024, and continue until the position is filled. Possible start dates, coinciding with USU’s semester schedule, are January 2025 and August 2025.
Responsibilities
Successful candidates for the tenure-track position will be expected to develop an externally funded research program that includes peer-reviewed publications and graduate student mentorship. Both tenure-track and professional practice positions are expected to effectively teach undergraduate and graduate courses, actively participate in assigned department and university duties, and serve their professional society. Ideal candidates will have an interest in developing new courses and degree programs in AI/ML and its applications to engineering.
Qualifications
Minimum Qualifications – Tenure Track Appointment

1. An earned doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or a closely related discipline.
2. An ability to conduct and disseminate research that applies AI/ML to problems in the electrical engineering domain.
3. An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate’s specific area of research emphasis in accordance with departmental needs.
4. An ability to apply for and secure ongoing external funding.

Preferred Qualifications – Tenure Track Appointment

1. Preference will be given to candidates with experience building and deploying AI/ML systems.

Minimum Qualifications – Professional Practice Appointment

1. An earned MS degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or equivalent work experience.
2. Strong industrial, commercial, consulting, or research experience in AI/ML systems.
3. An ability to develop courses in AI/ML and effectively teach undergraduate and graduate level courses in AI/ML and the candidate’s specific area of research emphasis in accordance with departmental needs.
4. Effective written and oral communication skills.
5. Demonstrated strong organizational skills.

Preferred Qualifications – Professional Practice Appointment

1. Effective teaching or mentoring experience.
2. Advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics or a closely related discipline.

Required Documents
Along with the online Application, please attach:

1. Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV”.

The documents listed below to be uploaded at the beginning of your application in the Candidate Profile under “Documents 1-10”:

1. Cover letter summarizing your motivation, qualifications, experience, and career goals.
2. A concise statement of your proposed research program including how your research synthesizes AI/ML and engineering topics.
3. A brief teaching statement that explains your approach to teaching and describes AI/ML courses you would like to develop and existing ECE courses you would like to teach.
4. Names and contact information of three professional references (reference letters will only be solicited from final candidates).

**Document size may not exceed 10 MB.**
Advertised Salary
Commensurate with experience, plus excellent benefits
ADA
Employees typically work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes.
College/Department Highlights
The Department of Electrical and Computer Engineering (http://ece.usu.edu) offers BS, ME, MS, and PhD degrees. It has approximately 20 tenured/tenure track faculty, 100 graduate students, and 300 undergraduate students. The ECE Department offers strong graduate programs at the masters and PhD levels.
University Highlights
Founded in 1888, Utah State University is Utah’s premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact.
USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State’s 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state.
Competing at the NCAA Division I level, USU is a proud member of the Mountain West Conference and will join the Pac-12 Conference beginning in the 2026-2027 season. The Aggies’ long-standing tradition of athletic and academic excellence is exemplified by recent Mountain West regular-season and tournament championships in women’s volleyball, three consecutive Mountain West tournament titles in women’s soccer conference championships, and a first-ever conference championship for gymnastics, reflecting USU’s commitment to perseverance and achievement.
Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU.
The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university’s ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu.
*updated 12/2025
https://careers-usu.icims.com/jobs/8433/ai-and-machine-learning-assistant-professor-professional-practice-assistant-professor/job?in_iframe=1
Notice of Non-discrimination
In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity or expression, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law.
The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USUs non-discrimination policies:
Executive Director of the Office of Equity Matthew Pinner, discrimination@usu.edu, Distance Education Rm. 401, 435-797-1266
Title IX Coordinator Matthew Pinner, titleix@usu.edu, Distance Education Rm. 404, 435-797-1266
Mailing address: 5100 Old Main Hill, Logan, Ut 84322
For further information regarding non-discrimination, please visit https://equity.usu.edu/, or contact:
U.S. Department of Education, Office of Assistant Secretary for Civil Rights, 800-421-3481, OCR@ed.gov
U.S. Department of Education, Denver Regional Office, 303-844-5695, OCR.Denver@ed.gov
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USU recognizes and values the importance of diversity and inclusion in enriching the employment experience of its employees and in supporting the university’s academic mission of learning, discovery, and engagement. USU is an Equal Opportunity employer and does not discriminate in any of its programs and activities based on race, color, religion, sex, national origin, age, genetic information, sexual orientation or gender identity/expression, disability, status as a protected veteran, or any other status protected by University policy or local, state, or federal law (https://equity.usu.edu/non-discrimination).

 

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