Part-Time Faculty: Electrical & Computer Engineering (Hybrid/Remote)

Northern Arizona University; Flagstaff (AZ); Hybrid; USD 20,000 - 24,000; Part time

Benefits offered by this job

Remote work eligible (rare)

Flexible teaching schedule

Job summary

Northern Arizona University seeks a part-time faculty member in SICCS to teach and provide service in Electrical Engineering and/or Computer Engineering. The pool is continuously open, with positions filled as needed based on enrollment and funding.

Teaching responsibilities include undergraduate and graduate courses, with focus areas like Internet of Things, embedded systems, and control systems. A M.S. or B.S. with industry experience qualifies; Ph.D. is preferred.

Qualifications

• Master's degree in Electrical Engineering or Computer Engineering by time of appointment.
• Bachelor's in Electrical/Computer Engineering with 3–4 years of industry experience.
• A combination of related education, experience, and training may be used as an equivalent.
• Ph.D. in Electrical or Computer Engineering is preferred.
• Experience teaching courses at the university level.
• Experience with modern pedagogical practices and tools.

Responsibilities

• Teach undergraduate and graduate courses in Electrical and Computer Engineering.
• Special areas of interest include Internet of Things, embedded systems, electronic circuits and devices, control systems, and communication systems.

Skills

Excellent communication skills

Ability to work with diverse teams

Course development

Ability to teach computer science

Education

Master's degree in Electrical Engineering or Computer Engineering

Bachelor's degree in Electrical/Computer Engineering with 3–4 years industry experience

Equivalent combination of education/experience

Job description

Northern Arizona University seeks a part-time faculty member in SICCS to teach and provide service in Electrical Engineering and/or Computer Engineering. The pool is continuously open, with positions filled as needed based on enrollment and funding.

Teaching responsibilities include undergraduate and graduate courses, with focus areas like Internet of Things, embedded systems, and control systems. A M.S. or B.S. with industry experience qualifies; Ph.D. is preferred.