Associate Professor

Position Details

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Marshall University is a public comprehensive university with a rich history as one of the oldest institutions of higher learning in West Virginia. Founded in 1837 and named after Chief Justice John Marshall, definer of the Constitution, Marshall University advances the public good through innovative, accredited educational programs. We are located in downtown Huntington, West Virginia, with additional locations in South Charleston and Point Pleasant. Marshall University's mission, inspired by our Vision and Creed, includes a commitment to:

• Offer a wide range of high quality, affordable, and accessible undergraduate, graduate, and professional education that prepares students to think, learn, work, and live in an evolving global society.
• Create opportunities and experiences to foster understanding and appreciation of the rich diversity of thought and culture.
• Maintain a dynamic intellectual, artistic, and cultural life by promoting and supporting research and creative activities by undergraduates, graduates, and faculty.
• Contribute to the quality of life of the community, region, and beyond through applied research, economic development, health care, and cultural enrichment.
• Cultivate the development of an inclusive, just, and equitable community.

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We are committed to attracting and retaining quality faculty and staff. In doing so, Marshall University offers outstanding benefit packages to eligible employees only. (E-Class in the job posting). Marshall University Research Corporation (MURC) employees have different benefit options than those listed below.

• Work week is 37.5 hrs.
• A great highlight in December is that Marshall University employees receive almost two weeks off for Winter Break!
• Holidays - Employees receive 13 Paid Holidays
• Annual and Sick Leave - Classified Staff, Non-Classified Staff and 12-month Faculty earn up to 24 days of annual leave per year (max 360 hours) and up to 18 days of sick leave per year. ) Employee Leave
• Health Insurance - Marshall University offers health insurance through West Virginia Public Employees Insurance Agency (PEIA). There are seven (7) health benefit plans.
• Educational/Tuition Benefits - Marshall University provides tuition benefits to regular employees (after probationary period) and their dependent children.
• Retirement Plans - Marshall University offers retirement through Teachers Insurance and Annuity Association (TIAA). Full-time benefits eligible employees must participate in the mandated retirement plan (401(a)).
• Life Insurance - Basic term life insurance ($10,000) at no cost and may purchase optional life insurance coverage with pre-tax earnings.
• Wellness Programs - PEIA provides various care management programs and the Pathways to Wellness program.

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Position Information

Banner Position Number 000594 Position Title Associate Professor Classification Title Associate Professor Department Computer Science - MU2931 Job Description

The Department of Computer Science at Marshall University invites applications for a full-time, nine-month, tenure-track faculty position at the rank of Associate Professor or Professor, beginning August 2027.

Position Type: The position is full-time, nine-month, tenure-track. Salary is commensurate with qualifications and experience.

Qualifications: Applicants must have a Ph.D. in Computer Science or a closely related field. Candidates should demonstrate an established record of scholarship appropriate to the rank sought, a strong commitment to excellence in undergraduate and graduate teaching, and the ability to contribute to the research mission of the department and college.

Applicants with expertise at the intersection of Artificial Intelligence and Cybersecurity are especially encouraged to apply. Areas of interest include, but are not limited to, AI-enabled cybersecurity, security and trustworthiness of AI systems, adversarial machine learning, generative AI and large language model security, intelligent threat detection, privacy-preserving AI, and secure and resilient cyber-physical systems.

Depending on expertise and departmental needs, teaching may include courses in Cybersecurity, Artificial Intelligence, Data Science, and related areas. The successful candidate will be expected to collaborate across disciplinary boundaries and participate in research and educational initiatives associated with Marshall University's cybersecurity and emerging technology infrastructure.

The candidate must be committed to service to the institution, department, profession, and community. The successful candidate will also contribute to interdisciplinary programs of study and support student development, recruitment, and engagement.

Background: The Department of Computer Science offers two B.S. degrees in Computer Science and Computer and Information Technology, with emphases in Game Development and Web Technology, and three M.S. degrees in Computer Science, Cybersecurity, and Data Science. The department is housed within the College of Engineering and Computer Sciences (CECS), a multidisciplinary college with a broad range of faculty expertise and research interests. Additionally, the college offers a PhD in Engineering, which students from any discipline in the college, including computing disciplines can apply to.

Marshall University is making a significant investment in cybersecurity education and research through its new $45 million Cyber Security Center, scheduled for completion in Fall 2027. The 78,000-square-foot facility will house 13 specialized cybersecurity laboratories, including facilities focused on Open-Source Intelligence, Industrial Control Systems, and Digital Identity, as well as dedicated spaces for collaboration with private industry. The successful candidate will have opportunities to contribute to and help shape interdisciplinary research, education, and industry partnerships associated with this new facility.

Applicants with expertise at the intersection of Artificial Intelligence and Cybersecurity are especially encouraged to apply. Areas of interest include, but are not limited to, AI-enabled cybersecurity, security and trustworthiness of AI systems, adversarial machine learning, generative AI and large language model security, intelligent threat detection, privacy-preserving AI, and secure and resilient cyber-physical systems.

Depending on expertise and departmental needs, teaching may include courses in Cybersecurity, Artificial Intelligence, Data Science, and related areas. The successful candidate will be expected to collaborate across disciplinary boundaries and participate in research and educational initiatives associated with Marshall University's cybersecurity and emerging technology infrastructure.

The candidate must be committed to service to the institution, department, profession, and community. The successful candidate will also contribute to interdisciplinary programs of study and support student development, recruitment, and engagement.

More information about the Marshall University College of Engineering and Computer Sciences can be found at: https://www.marshall.edu/cecs/

Location MU - Marshall University Salary Range Salary is commensurate upon education, experience and internal equity

Qualifications

Must be able to perform all essential job duties as outlined in the job description.

Required Qualifications

Education

Applicants must have a Ph.D. in Computer Science or a closely related field.

Experience

Candidates should demonstrate an established record of scholarship appropriate to the rank sought, a strong commitment to excellence in undergraduate and graduate teaching, and the ability to contribute to the research mission of the department and college.

Preferred Qualifications

Education Experience

Preferred Qualifications: Preference will be given to candidates who demonstrate one or more of the following:

• A strong and sustained research record in Artificial Intelligence, Cybersecurity, or AI-enabled cybersecurity appropriate to the rank sought;
• Experience applying AI techniques to cybersecurity problems or addressing security, privacy, robustness, and trust challenges associated with AI-enabled systems;
• A demonstrated record of securing externally funded research from federal agencies, industry, or other sponsors, with the capacity to lead collaborative and interdisciplinary research initiatives;
• Experience with emerging AI technologies, including generative AI and large language models, and their security implications;
• Ability to collaborate with researchers across engineering, cybersecurity, data science, health, science, and other disciplines;
• Experience developing new undergraduate and graduate courses in Artificial Intelligence, Cybersecurity, and related emerging areas;
• Experience developing and teaching courses in face-to-face, online, or hybrid modalities;
• Experience mentoring undergraduate and graduate students in research and scholarly activities;
• Industrial, government, or national laboratory experience.
• The ability to hold a U.S. Security Clearance.

Posting Detail Information

Posting Number MU1905F Open Date 10/12/2026 Close Date Open Until Filled Yes Special Instructions Summary

The search committee requests that three reference letters be submitted with your application. Please enter your references' information in the Reference Letter Submission section of the application. Your references will be notified via email to submit their reference letters to the search committee in our Applicant Tracking system.

Supplemental Questions

Required fields are indicated with an asterisk (*).

• • Do you have a Ph.D. in Computer Science or a closely related field?
• Yes
• No

Applicant Documents

Required Documents

• Cover Letter
• Curriculum Vitae
• Teaching Philosophy
• Statement of Teaching and Research Interests
• Statement of Research Focus

Optional Documents