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Tenure Track Professor of Computer Science

Apply now Job no: 492888
Work type: Full-time
Location: St. Louis, MO
Categories: College of Arts & Sciences

Posting Details

Job Summary/Basic Function

 

At Maryville University, we power dreams-not just degrees. Our vision is to be the innovative leader in higher education promoting a revolution in student learning that expands access and opportunities for all.

Maryville University is searching for an energetic and passionate tenure-track Assistant/Associate/Full Professor of Computer Science to join the College of Arts & Sciences in Spring or Fall 2024. We seek educators who think innovatively, build competence in technology, and use engaging pedagogy to help our students deepen their learning and broaden their perspectives. The candidate must be committed to fostering a positive, culturally diverse atmosphere for faculty, staff, and students. Applicants must hold a master’s degree in Computer Science or closely related field (PhD preferred).

The Department of Computer Science at Maryville University offers a Bachelor of Science in Computer Science in both online and traditional in-person formats. The BS in Computer Science program includes specializations in Artificial Intelligence, Data Science, Cyber Security, Software Development, User Experience, Game Development, and Blockchain. The department also offers a Master of Science in Artificial Intelligence.

The Computer Science program is young, but rapidly growing. This is a great opportunity for a passionate faculty member to contribute to the development of an exciting, innovative, and rapidly growing program!
Responsibilities for all faculty members:


• Teach assigned courses as specified in the schedule and course contract, employing a variety of pedagogical styles to effectively deliver course content demonstrating both academic and real-world applications of concepts covered.
• Develop innovative pedagogical strategies, including the use of technology, to deliver course content in a meaningful and engaging manner.
• Work closely with the instructional design team to develop and deliver online course content.
• Foster a teaching-learning environment that values and supports the diversity of students’ ideas, opinions, and backgrounds and prepares them for success in a culturally diverse work force.
• Work collaboratively with appropriate faculty to review and develop curriculum.
• Ensure that program learning outcomes and course outcomes are assessed for continuous improvement
• Work closely with advisees and Life Coaches to facilitate students’ academic and personal success.
• Propose and work toward a productive research/scholarship agenda consonant with the demands of a teaching-focused institution.
• Serve on School and University committees as needed.
• Facilitate an Advisory Council to provide feedback and review of the computer science program.
• Foster mutually beneficial relationships with professionals to build internship and career opportunities and cutting-edge, market-relevant curriculum.


Minimum Qualifications

• Master’s degree in Computer Science or related field from a regionally accredited institution.
• Student-centered approach and passion for teaching and mentoring a diverse student population.
• Strong commitment to service students, department, university, and profession

Preferred Qualifications

• PhD degree in Computer Science or related field from a regionally accredited institution.
• Background in Software Engineering, Artificial Intelligence, or Data Science.
• Experience with cloud computing.
• Experience in online teaching and online course development.
• Experience with higher education curriculum development.

Physical Demands

 

Open Until Filled

Yes

Special Instructions to Applicants

An offer of employment is contingent upon successful completion of a background screening.

Applicants requiring University sponsorship to obtain employment authorization will not be considered for this position.

Maryville University is committed to a policy of equal opportunity and prohibits discrimination on the basis of age, disability, gender, genetic information, marital status, national origin, race/color, religion, sex, sexual orientation, veteran status, or any other status protected by law. This extends to all aspects of the employment relationship, including recruiting, hiring, training, on-the-job treatment, promotion, layoff, and termination.

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