Saint Louis University, a Catholic, Jesuit institution dedicated to student learning, research, health care, and service, invites applications for tenure-track and non-tenure-track faculty positions in computer science to begin in August 2023. We plan to hire multiple new faculty members in both tracks. Rank is open and commensurate with experience. Exceptional candidates may be nominated as Saint Louis University Research Institute Fellows, or as Taylor Geospatial Institute Fellows or Associates.
With record enrollments in both our undergraduate and graduate programs as well as externally funded research activity, the department seeks to expand upon strengths in current teaching and research clusters (algorithms, bioinformatics, computer vision, high-performance computing, machine learning, natural language processing, computer networking, security and privacy, and systems), and to develop additional strength in key areas such as, but not limited to, software engineering, artificial intelligence, cybersecurity, data science, ethics, human-computer interaction, and theory of computation.
Tenure-track faculty members are expected to develop and maintain active research programs with national or international reputation and to contribute toward teaching a diverse portfolio of inclusive classes at the undergraduate and graduate levels. A successful applicant for tenure-track Assistant Professor must possess a Ph.D. in computer science or a closely related field. A successful applicant for Associate Professor or Professor must have a demonstrated record of successful research and teaching.
Our non-tenure-track faculty contribute toward teaching a diverse portfolio of inclusive classes at the undergraduate and graduate level. These positions include opportunity for long-term career development and advancement in rank. A successful applicant for the rank of non-tenure-track Instructor must possess an M.S. in computer science or closely related field and experience teaching a diverse portfolio of inclusive computer science classes. A successful applicant for the rank of non-tenure-track Assistant Professor must possess a Ph.D. in computer science or closely related field. A successful applicant for non-tenure-track Associate or Professor must have a demonstrated record of pedagogy and/or curriculum development commensurate with experience.
Saint Louis University is an equal opportunity/affirmative action employer. All qualified candidates will receive consideration for the position applied for without regard to race, color, religion, sex, age, national origin, disability, marital status, sexual orientation, military/veteran status, or other non-merit factors. We welcome and encourage applications from minorities, women, protected veterans, and individuals with disabilities (including disabled veterans). If accommodations are needed for completing the application and/or with the interviewing process, please contact please contact Human Resources at 314-977-5847.
How to Apply
- The following materials are required to apply:
- A cover letter expressing your interest in a position
- A complete CV
- A research statement (optional if applying for a non-tenure-track position)
- A teaching statement discussing teaching approaches, experiences, and interests in particular subject areas/courses
- A statement expressing how the applicant's efforts in research, teaching, and/or service, can support an inclusive and diverse community
- Complete an official application on the University's Workday system, providing personal and demographic data, contact information for three people who can serve as professional references, and upload the materials indicated above. Applicants interested in both positions should complete both applications.
- NOTE: Open-rank applications for associate or full professor should use the links below and note in their cover letter which rank they are applying for.
- Tenure-Track Application
- Non-Tenure-Track Application
Related Positions at the University
The Computer Science faculty positions being advertised here are in addition to other ongoing faculty searches in areas adjacent to computer science:
The Department of Computer Science participates in delivery of the following academic programs, supporting a growing population of 300 undergraduate and 300 graduate students:
|B.S. in Computer Science|
|B.A. in Computer Science|
|Undergraduate minor in Computer Science|
|B.S. in Data Science
(jointly with Math/Stat department)
|M.S. in Artificial Intelligence|
|M.S. in Computer Science|
|M.S. in Software Engineering|
|M.S. in Bioinformatics and Computational BiologyM.S. in Bioinformatics and Computational Biology
(jointly with Biology, Chemistry, Math/Stat)
|Ph.D. in Computer Science|
You may learn about our undergraduate and graduate courses and we are very open to expanding this slate with new offerings.
Your Job Responsibilities
The following documents can provide further information about job responsibilities and career advancement.
- The University's Faculty Manual
- The Department's Rank and Tenure Procedures and Criteria
- The Department's Policy on Faculty Workload
A typical teaching load for tenured or tenure-track faculty is two courses per semester, with an automatic course release in the initial two years when joining the department, and opportunity for course releases for those with exceptional research productivity. A typical teaching load for non-tenure-track faculty is three courses per semester, with an automatic course release in the initial two years when joining the department.
Your Job Benefits
The University's Human Resources division provides a summary of the comprehensive benefits package.
In joining our department, you won't be alone! We have an excellent and collegial group of faculty to welcome you. For more details, explore the faculty profiles. The Computer Science department is housed within the brand new School of Science and Engineering.
Furthermore, since computer science is an enabler for advancement in so many areas, our computer science faculty have opportunities to find collaborations within the broader University. With our involvement in the Bioinformatics and Computational Biology and the Data Science programs, we interact most closely with the Departments of Biology, Mathematics & Statistics, and Chemistry, and the School of Medicine. Computer Science faculty and students also interact with SLU's College of Arts and Sciences, School of Business, Law School, College for Public Health and Social Justice, the Taylor Geospatial Institute, and the Center for Digital Humanities.
St. Louis Region
The Greater St. Louis Region is an excellent place to live, and our Human Resources department is excited to provide their own "Relocation Guide" with a variety of information about the area, and SLU's support for new employees.
St. Louis has an outstanding and ever-growing tech industry, as home to world headquarters for many large corporations, and home to the IT headquarters for many additional companies. Some big names in terms of CS employment in the area currently include (alphabetically): Anheuser-Busch/InBev, Boeing, Citi Cards, Enterprise, KPMG, MasterCard, Microsoft, National Geospatial-Intelligence Agency, Riot Games, Scottrade, and World Wide Technology. Some big names in the realm of bioinformatics, bioscience and healthcare include: Bayer/Monsanto, Centene, Donald Danforth Plant Science Center, Express Scripts, Mallinckrodt Pharmaceuticals, Missouri Botanical Gardens, Pfizer, Sigma-Aldrich and SSM Health.
But it's not just the big corporations that love the city. St. Louis has a vibrant entreprenuer community including several prominent incubators such as the CORTEX Innovation Community, which is a few blocks from the west end of our campus, and the T-Rex Incubator, found just over 2 miles to our East, in downtown St. Louis. The BioSTL Coalition, which includes Saint Louis University among its members, focuses on bioscience industries in the region. The Taylor Geospatial Institute involves many regional partners and is headquartered at SLU.
This page last updated 30 September 2022