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Computer Science Professor Jobs in Utah (NOW HIRING)

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Computer Science Professor information

See Utah salary details

$10K

$115.3K

$155.7K

How much do computer science professor jobs pay per year?

As of May 28, 2026, the average yearly pay for computer science professor in Utah is $115,264.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $139,300.00 per year, depending on experience, location, and employer.

What Does a Computer Science Professor Do?

A computer science professor teaches at a technical college or university. You create and teach courses in computer science (CS) or related programming or technology subjects. In this career, you prepare the syllabus for each class, deliver lectures and instructions, and use exams and quizzes to assess the performance of students. In many computer science classes, your responsibilities include allowing students to practice the subject matter in a computer lab. You facilitate this practice and offer guidance during lab sessions. In addition to your teaching duties, you sometimes give academic or career advice to students in CS degree programs.

What are the key skills and qualifications needed to thrive as a Computer Science Professor, and why are they important?

To thrive as a Computer Science Professor, you need an advanced degree in computer science or a related field, strong research background, and expertise in core topics like algorithms, programming, and systems. Familiarity with learning management systems (LMS), programming environments, and publication platforms is typically required, along with a record of scholarly publication and potentially relevant certifications. Excellent communication, mentorship, and curriculum development skills help foster student engagement and support academic growth. These skills and qualifications are vital for delivering high-quality instruction, advancing research, and contributing to the academic community.

What are some common challenges faced by Computer Science Professors in balancing teaching, research, and administrative responsibilities?

Computer Science Professors often juggle multiple responsibilities, including delivering lectures, guiding student projects, conducting original research, publishing papers, and participating in departmental or university committees. Balancing these can be challenging, especially during peak periods like exam seasons or major research deadlines. Effective time management and prioritization are crucial, as is seeking support from colleagues and administrative staff. Many professors also find it helpful to establish a clear schedule and set boundaries to maintain productivity and job satisfaction.

What is the difference between Computer Science Professor vs Software Developer?

AspectComputer Science ProfessorSoftware Developer
Required CredentialsTypically a Ph.D. in Computer Science or related fieldBachelor's or Master's in Computer Science or related field; certifications optional
Work EnvironmentAcademic institutions, research labs, universitiesCorporate offices, tech companies, startups
Industry UsageResearch, teaching, academic publishingSoftware development, product creation, coding
Common Search/ComparisonYesYes

While both roles involve computer science knowledge, a Computer Science Professor primarily focuses on teaching, research, and academic publishing, often requiring a Ph.D. and working in educational institutions. In contrast, a Software Developer applies programming skills to create software products in corporate or startup environments, typically with a bachelor's or master's degree. The roles differ in work environment, responsibilities, and career paths but share foundational computer science expertise.

What are the most commonly searched types of Computer Science Professor jobs in Utah? The most popular types of Computer Science Professor jobs in Utah are:
What are popular job titles related to Computer Science Professor jobs in Utah? For Computer Science Professor jobs in Utah, the most frequently searched job titles are:
What cities in Utah are hiring for Computer Science Professor jobs? Cities in Utah with the most Computer Science Professor job openings:
Infographic showing various Computer Science Professor job openings in Utah as of May 2026, with employment types broken down into 2% As Needed, 71% Full Time, 18% Part Time, 1% Temporary, 7% Contract, and 1% Nights. Highlights an 13% Physical, 6% Hybrid, and 81% Remote job distribution, with an average salary of $115,264 per year, or $55.4 per hour.

Assistant Professor in the Mathematics of AI

Utah State University

Logan, UT

Full-time

Posted 13 days ago


Utah State University rating

7.3

Company rating: 7.3 out of 10

Based on 75 frontline employees who took The Breakroom Quiz

304th of 528 rated colleges and universities


Job description

The Department of Mathematics and Statistics at Utah State University (USU) invites applications for a 9-month tenure-track Assistant Professor position in the Mathematics of Artificial Intelligence, with a starting date of August 1, 2026. We seek candidates whose research bridges mathematical foundations and computational methods to advance AI methodology and applications.  

This position is inherently interdisciplinary.  We seek candidates who demonstrate potential for strong synergies with the department’s existing research strengths in Applied/MathBio, Statistics and Machine Learning, Analysis/PDE, and Discrete Math. Candidates should also be able to partner broadly with researchers across campus such as those in the Data Science and Artificial Intelligence Center, School of Computing, engineering, natural sciences, agriculture, natural resources, and social sciences. 

Ideal candidates will have a robust mathematical background and have expertise in one or more of the following areas (not exhaustive):   

  • Uncertainty quantification, stochastic analysis, or probabilistic modeling 
  • Statistical learning theory, high dimensional inference, or generalization/robustness 
  • PDEs, dynamical systems, or stochastic differential equations especially as they interact with learning 
  • Graph and network methods, algorithmic combinatorics, discrete optimization, or network science 
  • Principled methods for interpretability, certification, fairness, or robustness in AI. 

Ideal candidates should also show interest in principled quantitative approaches to large-scale data from genetics, networks, or environmental systems. Preference will be given to applicants with potential to (a) attract external funding (e.g. NSF, NIH, DOE, DoD, etc.), (b) engage in multi-investigator or cross-unit proposals, (c) foster collaborations with industry, government labs, or domain scientists,  and (d) contribute strongly to national or international programs in trustworthy and foundational AI. 


  • Research: Develop an independent and externally funded research program at the interface of mathematics and AI. 
  • Teaching: Deliver undergraduate core mathematics courses (1000-3000 levels), courses within the interdisciplinary/applied mathematics graduate core (see USU General Catalog at https://catalog.usu.edu/ and search courses with prefix MATH, numbered 5000+), and develop advanced courses in AI, machine learning, computational mathematics, and data science. 
  • Mentorship: supervise graduate students (PhD and MS, including the Industrial Math MS) and undergraduate students in programs including AI/data science and computational math. 
  • Collaboration: establish and maintain synergies across campus (e.g. computing, engineering, life sciences, natural resources, social sciences) and contribute to campus-level AI/data science initiatives. 
  • Service: departmental, college, and professional service consistent with expectations for a tenure-track faculty member. 

The position is 50% research, 45% teaching and 5% service, with expectations that over time, the candidate will increase external funding, expand collaborative reach, and help build curricular strength in computational mathematics and data science.  


Minimum Qualifications:

  • Ph.D. in Applied Mathematics, Mathematics, Statistics, Computer Science, Engineering, or a closely related field. 
  • Research record of excellence at the interface of mathematics and AI/ML. 
  • Evidence of, or potential for, strong teaching and mentoring across diverse student populations. 

Preferred Qualifications: 

  • Experience in interdisciplinary collaboration, particularly with biological, ecological, and environmental scientists. 
  • Postdoctoral or equivalent training. 
  • Experience with external research funding and collaborative proposals. 
  • Evidence of, or potential for, collaborations with industry, government labs, or domain scientists. 
  • Evidence of, or potential for, contributions to national or international programs on trustworthy and foundational AI. 

Review of applications begins on December 15th, 2025, with the position open until filled.  For more information please contact search committee chair Dr. Luis Gordillo (luis.gordillo@usu.edu). 

Applicants should submit the following: 

  1. Curriculum vitae (upload at the beginning of application in the Candidate Profile under “Resume/CV”)
  2. Cover letter addressing fit with the mission of this position and existing departmental strengths to be uploaded at the beginning of your application in the Candidate Profile under “Documents 1-10”

  3. Research statement to be uploaded at the beginning of your application in the Candidate Profile under “Documents 1-10”

  4. Teaching statement/philosophy to be uploaded at the beginning of your application in the Candidate Profile under “Documents 1-10”

  5. At least three letters of recommendation (to be submitted via MathJobs link below), with at least one addressing the applicant's teaching experience and potential

All application materials, except for reference letters, must be provided through the USU Jobs site: https://careers-usu.icims.com/jobs/9612/assistant-professor-in-the-mathematics-of-ai/job

Reference letters must be provided via MathJobs at https://www.mathjobs.org/jobs/list/27318. 

**Document size may not exceed 10 MB.**


Minimum $85,000, commensurate with qualifications and experience, plus excellent benefits

Employees typically work indoors and are protected from weather and/or contaminants, but not, necessarily, occasional temperature changes.  


The Department of Mathematics and Statistics is committed to delivering advanced quantitative and analytic skills for professionals in education, industry, and research through classroom instruction as well as practical and research experiences. The Department is one of the largest departments at USU, with over 50 faculty members, 60 Master’s and PhD students, and 300 undergraduate majors. The College of Arts and Sciences and USU’s Research Office makes significant investments in faculty development, including startup packages, faculty seed grants, and proposal development assistance. 

USU is located in Logan, Utah, a city of 54,000-plus people in a picturesque mountain valley 1.5 hours north of Salt Lake City, and just minutes from the Cache National Forest. Its location puts us close to Utah’s vibrant tech economy, as well as recreation opportunities in Utah’s abundant national and state parks and monuments. Please see the department jobs website to view other available faculty and post-doc positions in the department. 


Founded in 1888, Utah State University is Utah’s premier land-grant, public service university. As an R1 research institution, Utah State is dedicated to advancing knowledge and serving the public good through innovative research and scholarly activities that are grounded in reciprocal engagement with local, regional, and global communities. USU prepares students to be active, civically engaged leaders who are prepared to address critical societal challenges. Dedicated to providing a high-quality and affordable education, USU remains a leader in research, discovery, and public impact.

USU enrolls over 29,800 students, both online and in person at locations throughout the state. Utah State’s 30 locations include a main campus in Logan, Utah, residential campuses in Price and Blanding, and six additional statewide campuses, along with education centers serving every county. USU educates students from all 50 states and more than 80 countries. For over 100 years, USU Extension has served and engaged Utahns, serving every county in the state.

Competing at the NCAA Division I level, USU is a proud member of the Mountain West Conference and will join the Pac-12 Conference beginning in the 2026-2027 season. The Aggies’ long-standing tradition of athletic and academic excellence is exemplified by recent Mountain West regular-season and tournament championships in women’s volleyball, three consecutive Mountain West tournament titles in women’s soccer conference championships, and a first-ever conference championship for gymnastics, reflecting USU's commitment to perseverance and achievement.

Utah State is dedicated to fostering a community where all individuals feel respected, valued, and supported and where diversity of thought and culture are cultivated. We seek to recruit, hire, and retain people from all walks of life who will champion excellence in education, research, discovery, outreach, and service. We believe that promoting a strong sense of community and belonging empowers and engages all members of USU to thrive and be successful. Forbes recognized our commitment to employees when they named Utah State the best employer in Utah in 2023. Learn more about USU. 

The university provides a Dual Career Assistance Program to support careers for partners who are also seeking employment. Additionally, USU is committed to providing access and a reasonable accommodation for individuals with disabilities. To request a reasonable accommodation for a disability, contact the university’s ADA Coordinator in the Office of Human Resources at (435) 797-0122 or hr@usu.edu. 

*updated 12/2025


In its programs and activities, including in admissions and employment, Utah State University does not discriminate or tolerate discrimination, including harassment, based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy, Title IX, or any other federal, state, or local law.

Utah State University is an equal opportunity employer and does not discriminate or tolerate discrimination including harassment in employment including in hiring, promotion, transfer, or termination based on race, color, religion, sex, national origin, age, genetic information, sexual orientation, gender identity, disability, status as a protected veteran, or any other status protected by University policy or any other federal, state, or local law.

Utah State University does not discriminate in its housing offerings and will treat all persons fairly and equally without regard to race, color, religion, sex, familial status, disability, national origin, source of income, sexual orientation, or gender identity. Additionally, the University endeavors to provide reasonable accommodations when necessary and to ensure equal access to qualified persons with disabilities.

In all circumstances, Utah State University follows state and federal laws related to sex-segregated spaces.

The following individuals have been designated to handle inquiries regarding the application of Title IX and its implementing regulations and/or USU’s non-discrimination policies:

Matthew Pinner

Executive Director

Civil Rights & Title IX Office

matthew.pinner@usu.edu

435-797-1266 | Old Main Rm. 401D

1475 Old Main Hill, Logan, UT 84322

Cody Carmichael

Title IX Coordinator

cody.carmichael@usu.edu

435-797-1266 | Old Main Rm. 402D

1475 Old Main Hill, Logan, UT 84322

For further information regarding non-discrimination, please visit crtix.usu.edu or contact:

U.S. Department of Education

Denver Regional Office

303-844-5695| OCR.Denver@ed.gov

U.S. Department of Education

Office of Assistant Secretary for Civil Rights

800-421-3481 |  OCR@ed.gov

*updated 10/2025


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