Faculty - Tenure-Track, Assistant Professor - Computer Science

The Department of Computer Science (www.uvu.edu/cs) invites applications for two tenure track faculty positions to begin August 2024.
The computer science faculty member develops and teaches undergraduate and graduate courses that include core computer science, networking, secure applications, web development, artificial intelligence (AI), data science, databases, compilers, robotics, and software engineering. The faculty member engages in scholarly activities that contribute to the mission of the university, department, and profession. In addition, the faculty provides service at the department, college, and university levels.
Utah Valley University places a strong emphasis on teaching. Faculty members are expected to develop a learning environment and activities that help students achieve their learning objectives. UVU is committed to fostering and preserving a culture of diversity, equity, and inclusion (DEI). We recognize the need to develop a diverse and inclusive faculty, staff, and student body and encourage applicants with a wide range of backgrounds, experiences, and expertise to apply.
The Computer Science Department offers ABET-accredited degrees in BS Computer Science and Software Engineering. The BS CS includes emphases in Computer Science, Full Stack Web Development, and Secure Computing. The department also offers a Master of Computer Science for working professionals, a BS in Computational Data Science, a BAS in Software Development, and a BS on Computer Science Education to train future high school CS teachers.
The department will accept all qualified applications but is particularly interested in applicants with experience in databases, graphics, data science, robotics, web development, or artificial intelligence. Utah Valley University offers a comprehensive benefits package, including health insurance and retirement contribution.

Required Qualifications: 
Ph.D. in Computer Science, Software Engineering, or a closely related academic field from an accredited institution.
Preferred Qualifications: 

• Demonstrated strength in and a passion for teaching. 
• Ability to teach general computer science topics, including practical software development skills.
• Expertise in teaching mathematical subjects related to computer science such as discrete structures, analysis of algorithms, artificial intelligence, and the theory of computation is desirable.

• Frequent talking, hearing, sitting, walking, and standing. 
• Frequent use of fine-hand manipulation associated with the use of a computer

• Knowledge of and experience with computer science subject matter.  
• Knowledge and experience in one or more of the following fields: software development, computer network applications, web programming, secure application development, cloud computing, data science, artificial intelligence, machine learning, and databases.  
• Excellent organizational and time management skills  
• Strong program coordination skills  
• Effective verbal and technical written communication skills  
• Effective interpersonal, problem-solving, and decision-making skills  
• Ability to manage and prioritize multiple tasks.  
• Ability to work effectively with faculty, staff, students, agency administrators, and community practitioners from diverse ethnic, cultural, and socioeconomic backgrounds.  
• Ability to demonstrate sound judgment and initiative in solving problems.  
• Ability to work independently.
• Ability to interpret the University’s core values (serious, inclusive, engaged) as they apply to student internships.  
• Ability to plan measurable objectives, prepare instructional materials, and follow an approved curriculum.  
• Ability to assess student work and maintain and submit accurate and current plans, reports, and records involving student accountability, attendance, and performance.  
• Ability to use a classroom learning management system, such as Canvas.  
• Ability to conduct scholarship/creative works and service and have teaching interests that align with the computer science discipline.

EEO Statement:

UVU employment decisions are made on the basis of an applicant’s qualifications and ability to perform the job without regard to race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age (40 and over), disability, veteran status, pregnancy, childbirth, or pregnancy-related conditions, genetic information, or other bases protected by applicable federal, state, or local law.