"Ranked Assistant/Associate/ or Full Teaching Professors of Computer Science / UMKC School of Science & Engineering/Division of Computing, Analytics & Mathematics"

Hiring Department

UNIVERSITY of MISSOURI-KANSAS CITY
SCHOOL of SCIENCE & ENGINEERING
Division of Computing, Analytics, & Mathematics

CAM is one of the four divisions in the new School of Science and Engineering (SSE). CAM offers undergraduate degrees in Computer Science (ABET-accredited), Information Technology (ABET-accredited), and Mathematics, MS degrees in Computer Science, Data Science, Mathematics, and Statistics, and Ph.D. degrees in Computer Science and Mathematics/Statistics. These programs foster an open, collaborative research and education environment. More information about SSE and the CAM division can be found at https://sse.umkc.edu.

Job Description

The Division of Computing, Analytics, and Mathematics (CAM) invites applications for multiple full-time (benefit eligible) ranked non-tenure track faculty (assistant/associate/full teaching professor) positions in Computer Science. These faculty will teach four (4) course sections per semester with an enrollment projection of up to 60 students per section. The ideal candidates should have expertise in teaching several topics at the undergraduate and/or graduate levels, including but not limited to: Algorithms, Applied Probability, AR/VR, Artificial Intelligence, Computer Architecture, Computer Networks, Cybersecurity, Database, Data Science Principles, Data Structures, Digital Forensics, Discrete Structures, Ethical Hacking, Human-Computer Interaction, Machine Learning, Network Security, Object-Oriented Programming, Operating Systems, Programming Language Paradigms, and Software Engineering.

The successful candidates will be expected to 1) teach courses in the undergraduate / graduate programs and 2) engage in department, school, and/or university service activities appropriate to the position.

Qualifications

A Ph.D. degree in Computer Science, Information Technology, or related areas or an MS degree in Computer Science or related areas with substantial tested experience and/or college teaching experience.

Preference will be given to candidates with university teaching experience.

Anticipated Hiring Range

Rank and salary are commensurate with qualifications, experience and evidence of success in externally funded research. These are 9-month, benefit-eligible, full-time (1.0) faculty appointments eligible for ranked promotion.

The anticipated hiring range for these positions has been established as $75,000 - $90,000 for 9 months commensurate with credentials, service to the profession, and experience.

Application Materials

For consideration, you must apply online at www.umkc.edu/hr/careers/, click in Academic Positions (Job Opening ID 57394).

Please submit the following:

• Letter of personal interest, teaching philosophy and applicable experience which qualifies you for a ranked teaching position,
• Curriculum vitae,
• Courses taught and/or tested experience which qualifies you to teach in a focus area,
• The names and current contact information for three professional references who can provide letters of recommendation (these references will remain confidential for most of the application process).

Please combine all application materials into one PDF or Microsoft Word document and upload as your resume attachment. Limit document name to 50 characters and do not include any special characters (e.g., /, &, %, etc.).

If you are experiencing technical problems during application, please email umpshrsupport@umsystem.edu.

For questions about the position, please contact umkcfacultysearch@umkc.edu including the Job Identification number 57394 and name of the position.

Reasonable ADA accommodations may be requested during the application and recruitment process. If you need accommodation, please contact the Office of Equity & Title IX at (816) 235-1323.

Higher education transcripts will be required for candidates advancing as finalists. Candidates will receive prior notification if references will be contacted.

Application Deadline

Applications will be reviewed upon receipt. The positions remain open until qualified candidates are hired.