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Assistant Computer Science Professor Jobs in Illinois

Loyola University Chicago

Assistant Professor

Chicago, IL · On-site

$99K - $125K/yr

Position Details Position Details Job Title Assistant Professor Position Title Assistant Professor ... Departmental strengths include faculty engaged in cardiovascular science, ion channel physiology ...

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Assistant Computer Science Professor information

What does an assistant computer science professor do?

An Assistant Computer Science Professor is an entry-level faculty member at a college or university who teaches undergraduate and sometimes graduate courses in computer science. They are responsible for preparing lectures, conducting research, mentoring students, and contributing to academic service such as curriculum development and committee work. Assistant professors are typically on a tenure-track, meaning they are evaluated on their teaching, research, and service before potentially being promoted to a higher rank. Their research often involves publishing papers, securing grants, and collaborating with other academics. The role is both educational and research-focused, aimed at advancing knowledge in computer science while supporting student learning.

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

To thrive as an Assistant Computer Science Professor, you need an advanced degree (typically a Ph.D.) in computer science or a related field, strong research background, and teaching experience. Familiarity with programming languages, learning management systems (LMS), and research tools like MATLAB or Python is essential. Outstanding communication, mentorship, and organizational skills help in engaging students and collaborating with colleagues. These competencies are crucial for fostering a productive academic environment, advancing research, and ensuring effective student learning.

What opportunities for research collaboration are available to assistant computer science professors?

Assistant Computer Science Professors often have access to a variety of research collaboration opportunities, both within their department and with external partners. They may work closely with senior faculty, graduate students, and interdisciplinary teams on funded projects or grant proposals. Many universities encourage early-career professors to build research networks by attending conferences, joining research centers, and partnering with industry. These collaborations can boost publication records, provide mentorship, and enhance prospects for tenure and career advancement.

What is the difference between Assistant Computer Science Professor vs Research Scientist?

AspectAssistant Computer Science ProfessorResearch Scientist
Required CredentialsTypically a Ph.D. in Computer Science or related fieldOften a Ph.D. or Master's degree in a relevant area
Work EnvironmentAcademic institutions, universities, collegesResearch labs, corporate R&D departments, academic institutions
Employer & Industry UsageUniversities, colleges, academic researchTech companies, government agencies, research institutes
Common Search & Comparison IntentUnderstanding academic career roles and requirementsExploring research-focused roles in tech and industry

The main difference between an Assistant Computer Science Professor and a Research Scientist lies in their primary work environment and career focus. Assistant Professors typically work in academia, focusing on teaching and research, while Research Scientists are often employed in industry or research labs, concentrating on applied research and development. Both roles require advanced degrees, but their responsibilities and career paths differ significantly.

What cities in Illinois are hiring for Assistant Computer Science Professor jobs?

Cities in Illinois with the most Assistant Computer Science Professor job openings:

Assistant Computer Science Professor jobs near you

Senior Instructional Professor (open rank) in Data Science

The University of Chicago

Chicago, IL • On-site

Full-time

Medical, Retirement, PTO

Posted 26 days ago

University Of Chicago rating

8.1

Company rating: 8.1 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

167th of 621 rated colleges and universities

Job description

Description
The Data Science Institute at the University of Chicago invites applications for the position of Senior Instructional Professor (open rank) to lead the Data Science Clinic. The Data Science Clinic is an experiential project-based course where students work in teams as data scientists with real-world clients from industry, academia, and social impact organizations. You can view more information about the DSI Clinic on our website here.
The candidate will be appointed as Assistant Senior Instructional Professor, Associate Senior Instructional Professor, or Senior Instructional Professor, depending on qualifications and years of experience in a similar role. The appointment will be made in the Data Science Institute.
The appointment will be for a term of up to five years, renewable. This is a career-track position with competitive salary and benefits. This position is expected to begin on or around December 1st, 2026.
Responsibilities include leading and teaching three quarters of the data science clinic courses as well as up to one additional course in data science. Additional responsibilities include hiring, evaluation, supervision, and mentoring of academic and staff appointees in the DSI Clinic program.
This position is benefits-eligible. The University of Chicago offers a wide range of benefits programs and resources for eligible employees, including health, retirement, and paid time off. Information about the benefit offerings can be found in the Benefits Guidebook.
The University of Chicago is implementing an ambitious plan for research and education in Data Science and AI, including new academic programs at the undergraduate and graduate levels and new cross-disciplinary research programs. The Data Science Institute (datascience.uchicago.edu) is a collaboration among the Department of Computer Science (cs.uchicago.edu), the Department of Statistics (stat.uchicago.edu), and other units on campus. Topics of interest include foundations and applications of artificial intelligence, machine learning, large language models, scientific AI and machine learning, data ethics and privacy, data visualization, societal impact of data and AI, safe and trustworthy AI, data engineering, scalable data systems, and high-dimensional statistical inference.
We encourage applications from all researchers focused on developing the foundations and practice of Data Science as an emerging field. The Data Science Institute focuses on research that advances fundamental theories at the intersection of data science, artificial intelligence, statistics, and computing in the context of real-world and domain-specific problems. The Committee on Data Science (codas.uchicago.edu) is the home of data science education programs. The larger data science community at the University of Chicago includes the Committee on Computational and Applied Mathematics (cam.uchicago.edu), the Toyota Technological Institute at Chicago (TTIC), the Polsky Center for Entrepreneurship and Innovation, Fermilab and Argonne National Laboratory.
Qualifications
Required:
  • A Ph.D. in a related field
  • At least two years of experience teaching in a college or university as an instructor of record

Preferred:
  • Training and professional experience in one or more of the following areas: data science, machine learning, artificial intelligence, databases, and applied statistics.
  • Experience in management of experiential learning academic programs and personnel
  • And 3 years of industry experience with demonstrated quantitative, analytic, data science, and/or AI experience.

Application Instructions
Applications must be submitted online through the University of Chicago's Academic Jobs website: apply.interfolio.com/190212.
Review of applications will begin on October 1, 2026 and will continue until all positions are filled.
The following materials are required:
  • curriculum vitae
  • cover letter
  • A teaching statement including description of teaching philosophy, curricular development experience, and ability to interact with a diverse group of students
  • Evidence of successful management of programs (or evidence of potential to do so)
  • Evidence of teaching effectiveness (e.g., course evaluations, performance review, or other relevant assessments),
  • syllabi of courses previously designed and taught
  • three confidential letters of recommendation requested via Interfolio

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