Assistant Professor, Computer Science

About the role

The successful candidate will be a dynamic teacher of undergraduate students as well as a scholar with an ambitious research and publication agenda. The ideal candidate will show evidence of thoughtful intellectual engagement with computer science.

Responsibilities

• Offer dynamic, engaging, and student-centered pedagogy utilizing up-to-date expertise and the best pedagogical practices in computer science
• Teach a normal load, typically three courses in-person a semester, including general education classes and major classes such as Introduction to Programming, Data Structures, Computer Networks and Security, as well as actively mentor and advise students
• Be a contributing member of departmental and university required meetings and initiatives including departmental meetings events, course and curriculum development, and university-wide initiatives
• Maintain active professional engagement and research, which are required for promotion and tenure consideration
• Share the University’s commitment to diversity, inclusion, and anti-racist pedagogy and be prepared to join an active cohort of faculty who teach undergraduate courses and advise/mentor students

Requirements

• A Ph.D./Terminal degree in Computer Science or a related field (completed by the time of hire)
• Evidence of 1+ years of teaching at undergraduate level
• Proven agenda of research and professional engagement
• Communication skills consistent with effective teaching, mentoring and motivating
• Experience in course design, development, and assessment of student learning outcomes
• Experience utilizing LMS such as Canvas and other software

Qualifications

• Moderate lifting up to 20 pounds as frequently as needed to move objects
• Dexterity to write and manipulate computer keyboard and mouse
• Ability to hear and speak clearly
• Body mobility to stoop, kneel, bend and reach

Skills

• Effective communication skills
• Ability to teach diverse student populations
• Experience with course design and assessment
• Knowledge of LMS tools

Benefits

Not specified

Pay

TBD

Schedule

Not specified