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Assistant Computer Science Professor Jobs in Nashville, TN

The Ins

Assistant Professor in Neurology

Nashville, TN · On-site

$90 - $120/hr

... Assistant Professor position. This position is structured for clinical neuropsychologists in a ... Science, the Vanderbilt Brain Institute, and the Vanderbilt Memory & Alzheimer's Center.

Vanderbilt University

Research Scientist

Nashville, TN · On-site

Reporting directly to the Professor, the Research Scientist is expected to work on specific ... D. in engineering or computer science is preferred. A Bachelor's degree in engineering or computer ...

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All JobsComputer Science Professor JobsAssistant Computer Science Professor JobsAssistant Computer Science Professor Jobs in Nashville, TN

Assistant Computer Science Professor information

See Nashville, TN salary details

$41.1K

$77.3K

$130.4K

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

As of Aug 24, 2026, the average yearly pay for assistant computer science professor in Nashville, TN is $77,326.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,000.00 and $88,400.00 per year, depending on experience, location, and employer.

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.

Assistant Computer Science Professor jobs near you

Assistant Professor of Computer Science / Data Science

FISK UNIVERSITY

Nashville, TN • On-site

Other

Re-posted 22 days ago

Job description

POSITION SUMMARY:
Fisk University Assistant Professor position in Computer Science/Data Science (Tenure-Track or Tenured) provides an excellent opportunity to establish a rigorous academic career based on curriculum innovation, scholarly work and academic service. The individual should ensure that students meet high academic standards while providing a nurturing and learner-centered environment in the classroom, laboratory or research setting, and via diverse modalities of instructional delivery. The individual has demonstrated experience and expertise in curriculum innovation, interdisciplinary studies and innovative teaching strategies. Teaching and scholarly excellence in the areas of speciality will be a high priority. Additionally, the individual is strongly urged to integrate instruction with research and community service. The individual should be able to work productively with students and colleagues of diverse ethnic and cultural backgrounds. The service on University committees and contribution to the development of the University's Mission and Vision is required. As Fisk University is in the booming downtown of Nashville, TN, there are collaborative opportunities with local high-tech industries. The department faculty members have successfully obtained several federally funded research grants (NSF/NIH) and the individual will have opportunities to establish a strong federally funded research program.
ESSENTIAL FUNCTIONS:
Primary responsibilities include teaching introductory and upper-division courses (12 credit hours per semester; and helping to develop and expand programs in Computer Science/Data Science. Excellence in teaching at the undergraduate level is essential. Understanding, support, and willingness to participate in the advancement of the liberal arts is required. An active research agenda that is open to participation of undergraduate and/or graduate students is expected. A Ph.D. in Computer Science, or a closely related field, is required.
SECONDARY FUNCTIONS:
Additional expectations of an Assistant Professor include participation in the Faculty Assembly, University service as an academic advisor or a student campus organization advisor and engagement in activities that generate professional development leading to demonstrated achievement and other mandatory campus events. The individual should express a zeal for and competence in grantsmanship and be supportive of the University's thrust to increase sponsored programs and outside funding.
SPECIFIC JOB KNOWLEDGE, SKILLS AND ABILITIES:
Extensive knowledge in Computer Science, Data Science or Information Technology. Proven excellence in teaching at the college level, genuine interest in teaching, collegiate behavior with peers and a sincere interest to extract the best from our students are important attributes of persons holding the position.
ORGANIZATIONAL RESPONSIBILITY:
None
A doctorate degree in Computer Science, Computer Engineering, Information Technology, Data Science or relevant areas. The potential for excellence in teaching and research.
Education: A doctorate degree in computer science or relevant areas.
Experience: None
Licenses or Certificates: None
Additional Requirements: A background and/or credit check will be required of the successful applicant. An official transcript (if applicable) and names, addresses and phone numbers of three (3) references will be required of the successful applicant.

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