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Professor Of Computer Science Jobs in Austin, TX

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Professor Of Computer Science information

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$10.9K

$125.5K

$169.5K

How much do professor of computer science jobs pay per year?

As of Sep 9, 2026, the average yearly pay for professor of computer science in Austin, TX is $125,499.00, according to ZipRecruiter salary data. Most workers in this role earn between $91,200.00 and $151,700.00 per year, depending on experience, location, and employer.

What does a professor of computer science do?

A Professor of Computer Science teaches undergraduate and graduate courses in computer science, conducts research in specialized areas such as artificial intelligence or software engineering, and mentors students. They also publish scholarly articles, contribute to curriculum development, and may participate in professional conferences. Additionally, professors often secure research funding and collaborate with industry or academic partners to advance the field.

How does a professor of computer science typically balance research, teaching, and service responsibilities?

Professors of Computer Science often divide their time among conducting research, teaching undergraduate and graduate courses, and fulfilling service obligations such as committee work or mentoring. Balancing these responsibilities can be challenging, especially during peak periods like grant application deadlines or exam seasons. Effective time management and clear communication with colleagues are essential for handling overlapping commitments. Many institutions provide some flexibility in workload distribution, allowing professors to focus more on research or teaching depending on their interests and departmental needs.

What are the key skills and qualifications needed to thrive as a professor of computer science, and why are they important?

To thrive as a Professor of Computer Science, you need advanced knowledge in computer science, a doctoral degree in the field, and a strong track record of research and teaching. Familiarity with programming languages, research tools, learning management systems, and peer-reviewed publication standards is typically required. Outstanding communication, mentorship abilities, and adaptability help foster student engagement and collaborative research environments. These skills ensure effective knowledge transfer, research innovation, and academic leadership within the department and wider academic community.

What is the difference between Professor Of Computer Science vs Computer Science Lecturer?

AspectProfessor Of Computer ScienceComputer Science Lecturer
Required CredentialsDoctorate (Ph.D.) in Computer Science or related fieldMaster's or Doctorate often preferred
Work EnvironmentUniversities, research institutionsUniversities, colleges, sometimes online platforms
Employer & Industry UsageHigher education institutions, research-focusedHigher education institutions, teaching-focused
Common Search & ComparisonOften compared for academic roles, research, and teaching dutiesCompared for teaching responsibilities and academic level

The main difference between a Professor Of Computer Science and a Computer Science Lecturer lies in their academic rank, responsibilities, and credentials. Professors typically hold a Ph.D., engage in research, and have a senior academic role, while lecturers focus more on teaching and may have a master's or doctorate. Both work in higher education, but professors often have additional research duties and higher prestige.

What are the most commonly searched types of Professor Of Computer Science jobs in Austin, TX?

The most popular types of Professor Of Computer Science jobs in Austin, TX are:

What are popular job titles related to Professor Of Computer Science jobs in Austin, TX?

For Professor Of Computer Science jobs in Austin, TX, the most frequently searched job titles are:

Infographic showing various Professor Of Computer Science job openings in Austin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, 3% Contract, and 1% Nights. Highlights an 72% Physical, 2% Hybrid, and 26% Remote job distribution, with an average salary of $125,499 per year, or $60.3 per hour.

Professional Track Faculty Positions in Statistics and Data Sciences (Fall 2026)

Austin, TX • On-site

The University of Texas at Austin
Education • 10K+ employees

Full-time

Re-posted 8 hours ago


Key responsibilities

  • Help shape curriculum, advise students, and contribute to admissions and the long-term academic vision of the MS program in Statistics.

  • Teach classes at the undergraduate and MS level in statistics and data science.

  • Collaborate with department leadership to expand and develop the MS program and related initiatives.


University Of Texas at Austin rating

8.3

Company rating: 8.3 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

128th of 631 rated colleges and universities


Job description

Description
The Department of Statistics and Data Sciences (SDS) at The University of Texas at Austin invites applications for the Director of the MS Program in Statistics, with appointment at the rank of Associate or Full Professor of Instruction. SDS is looking forward to an expansion of its MS program through an integrated 4+1 BS/MS sequence for our rapidly growing Statistics and Data Science major. The Director of the MS Program will help lead this initiative alongside the chair of the department, shaping curriculum, advising, admissions, and the long-term academic vision of the program, while also teaching classes at the undergraduate and MS level. The anticipated start date for the position is either January 1, 2027 or August 16, 2027.
SDS is the newest and fastest-growing department in the College of Natural Sciences and will, in August 2026, join UT's new School of Computing, a major university initiative to boost investment in computer, data, and information sciences. Our programs include an undergraduate major and minor in Statistics and Data Science, an M.S. and Ph.D. in Statistics, and an online M.S. in Data Science.
The department is internationally recognized for excellence in both research and education, with 25 tenured/tenure-track and 10 professional-track faculty. While Professors of Instruction are professional-track faculty and ineligible for tenure, we hire with the hope that all new faculty will build lasting careers as part of our community. The department is committed to investing in the professional growth of all faculty. More information about the department is available here.
Austin is famous for music, media, and the outdoors; it is also a major technology center, home to companies such as 3M, Amazon, AMD, Apple, Applied Materials, Dell, Google, IBM, Meta, Samsung, and more.
Qualifications
Candidates must hold a doctoral degree in statistics, biostatistics, or a related discipline. Successful candidates will likely have at least 5 years of university teaching experience in statistics and data science, including experience with both introductory classes and classes at the advanced undergraduate or master's level.
Application Instructions
Applicants should submit a cover letter, a CV, and a teaching statement. As part of the application process, candidates will be asked to provide the names and email addresses of three individuals who are willing to provide letters of support. A link to a professional website may be provided on the candidate's CV.
Applications will be reviewed until the position is filled, with all applications received by August 17, 2026 receiving full consideration. Assuming the position continues to remain open, applications received after August 17, but before November 16, 2026, will continue to be considered.
The department is committed to respecting the confidentiality of the search process.
A background check will be conducted on applicants selected for the positions.
Questions about the search process should be directed to Professor Jay Bartroff, SDS Professional-Track Faculty Search Committee Chair and SDS Associate Chair. Please send inquiries to statjobs@austin.utexas.edu instead of emailing the search committee chair directly.

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