AI and Machine Learning Assistant Professor/Professional Practice Assistant Professor

About the role

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).

Responsibilities

• Develop an externally funded research program that includes peer-reviewed publications and graduate student mentorship.
• Teach undergraduate and graduate courses in AI/ML and the candidate’s specific area of research emphasis.
• Participate in department and university duties and serve professional societies.
• Develop 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:
• 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.
• A strong industrial, commercial, consulting, or research experience in AI/ML systems.
• 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.
• Effective written and oral communication skills.
• Demonstrated strong organizational skills.
• Preferred Qualifications - Professional Practice Appointment:
• Effective teaching or mentoring experience.
• Advanced degree in Electrical Engineering, Computer Engineering, Computer Science, Mathematics, Statistics or a closely related discipline.

Required Documents

• Resume/CV to be uploaded at the beginning of your application in the Candidate Profile under “Resume/CV”.
• Cover letter summarizing your motivation, qualifications, experience, and career goals.
• A concise statement of your proposed research program including how your research synthesizes AI/ML and engineering topics.
• 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.
• Names and contact information of three professional references (reference letters will only be solicited from final candidates).