Associate Faculty – MS in Computer Sciences

Post University; Waterbury (CT); On-site; USD 60,000 - 80,000; Part time

Benefits offered by this job

Collaborative academic environment

Support for curriculum innovation

Engagement with graduate students in advanced computing

Job summary

Post University is seeking an Associate Faculty member for the Master of Science in Computer Science program located in Waterbury, Connecticut. This role involves teaching graduate level courses, mentoring students, and integrating current industry practices into coursework.

Candidates must hold a doctoral degree and have at least three years of relevant industry experience. Join us in shaping the future of technology leaders and contributing to curriculum innovation and program growth.

Qualifications

• Earned doctoral degree required in Computer Science or related discipline.
• Minimum of three years of relevant industry experience.
• Demonstrated academic expertise in the discipline being taught.

Responsibilities

• Teach graduate level Computer Science courses on campus.
• Deliver engaging, rigorous, and student-centered instruction.
• Mentor and advise graduate students.

Skills

Communication skills

Interpersonal skills

Presentation skills

Education

Doctoral degree in Computer Science or related field

Tools

Cloud Computing Certifications

Artificial Intelligence Certifications

Job description

Associate Faculty – MS in Computer Science

Position restricted to on‑campus instruction at Post University’s Waterbury, Connecticut campus. Candidates must be physically located in an approved state (not Alaska, California, Hawaii, or New York).

Position Summary

Post University invites applications for Associate Faculty positions in the Master of Science in Computer Science program. We seek highly qualified educators, researchers, and industry professionals with terminal degrees who are passionate about teaching graduate students and preparing future technology leaders.

The Master of Science in Computer Science program focuses on advanced topics including artificial intelligence, machine learning, software engineering, cybersecurity, cloud computing, data science, computer systems, and emerging technologies.

Primary Responsibilities

• Teach graduate level Computer Science courses in a face‑to‑face classroom environment.
• Deliver engaging, rigorous, and student‑centered instruction.
• Provide timely feedback and assessment of student learning.
• Mentor and advise graduate students.
• Integrate current industry practices, research, and emerging technologies into coursework.
• Participate in curriculum development, program assessment, and continuous improvement initiatives.
• Collaborate with faculty, program leadership, and university administration.
• Maintain academic records and adhere to university policies and accreditation standards.

Minimum Qualifications

• Earned doctoral degree required in Computer Science, Software Engineering, Artificial Intelligence, Data Science, Cybersecurity, Information Systems, Computer Engineering, or a closely related discipline.
• Demonstrated academic and/or professional expertise in the discipline being taught.
• Minimum of three years of relevant industry experience in computing, software development, cybersecurity, artificial intelligence, cloud computing, data science, systems engineering, or related technical fields.
• Strong communication, presentation, and interpersonal skills.
• Commitment to student success and academic excellence.

Preferred Qualifications

• Previous graduate level teaching experience.
• Experience teaching in higher education.
• Record of scholarly activity, research, publications, presentations, or industry leadership.
• Experience developing graduate curriculum and course materials.
• Experience supervising student research, capstone projects, or thesis work.

Areas of Expertise

Candidates with expertise in one or more of the following areas are encouraged to apply:

Industry Certifications

• Cloud Computing
  • AWS Solutions Architect
  • AWS DevOps Engineer
  • Microsoft Azure Solutions Architect Expert
  • Google Professional Cloud Architect
• Artificial Intelligence and Data Science
  • Google Professional Machine Learning Engineer
  • Microsoft Azure AI Engineer Associate
  • Databricks Data Engineer Certifications

Benefits

• Opportunity to teach and mentor graduate students in a growing Master of Science in Computer Science program.
• Collaborative academic environment with strong institutional support.
• Ability to shape the future workforce in advanced computing disciplines.
• Opportunity to contribute to curriculum innovation and program growth.
• Engagement with students pursuing careers in artificial intelligence, cybersecurity, software engineering, cloud computing, and data science.

Application Materials

• Curriculum Vitae (CV)
• Cover Letter
• Unofficial or Official Academic Transcripts
• List of Relevant Certifications
• Teaching Philosophy Statement (preferred)
• Professional References

Interested candidates should forward cover letter, resume, and three references to Post University Associate Experience.

Post University is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse academic community.

We do not discriminate because of sex, sexual orientation, age, race, color, religious creed, marital status, national origin, ancestry, disability, handicap or other legally protected status. Equal access to programs, service and employment is available to all persons. Those applicants requiring reasonable accommodation to the application and job interview process should notify the Director of Associate Experience.