Job Information
UTAH STATE UNIVERSITY AI and Machine Learning Assistant Professor/Professional Pra in LOGAN, Utah
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 and 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
- An earned doctorate degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or a closely related discipline.
- An ability to conduct and disseminate research that applies AI/ML to problems in the electrical engineering domain.
- 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.
An ability to apply for and secure ongoing external funding. Preferred Qualifications - Tenure Track Appointment
Preference will be given to candidates with experience building and deploying AI/ML systems.
Minimum Qualifications - Professional Practice Appointment
- An earned MS degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics, or equivalent work experience.
- Strong industrial, commercial, consulting, or research experience in AI/ML systems.
- An... For full info follow application link.
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 po licy or local, state, or federal law (https://equity.usu.edu/non-discrimination).