Associate Faculty – MS in Computer Science
Associate Faculty – Master of Science in Computer Science
WHY POST?
Post University is a legendary, dynamic, growth-oriented organization of passionate, diverse professionals united in pursuit of life-changing service to countless students. Our “Make It Personal” mission is the driving tenet shaping how we treat students and each other. Post University’s success story is well-positioned to be second to none.
For more than 130 years, Post University has been dedicated to student success, serving thousands of learners across our online, main campus, undergraduate, and graduate programs. We value diverse experiences and perspectives and seek individuals who are passionate about contributing to a collaborative and student‑focused community.
Due to Post-specific operational and administrative considerations, the position is not approved to be performed in Alaska, California, Hawaii, or New York. Candidates must be physically located and perform their work from an approved state.
POSITION SUMMARY
Post University invites applications for Associate Faculty positions in the Master of Science in Computer Science program. We are seeking highly qualified educators, researchers, and industry professionals with terminal degrees who are passionate about teaching graduate students and preparing future technology leaders.
This position is for on campus instruction only at Post University’s Waterbury, Connecticut campus. Successful candidates will teach graduate level courses, mentor students, contribute to academic excellence, and bring current industry and research expertise into the classroom.
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:
- Artificial Intelligence
• Machine Learning
• Deep Learning
• Data Science and Analytics
• Software Engineering
• Cybersecurity
• Cloud Computing
• Computer Networks
• Database Systems
• Programming Languages
• Systems Architecture
• DevOps
• Distributed Systems
• Human Computer Interaction
• Information Systems
• Mobile Application Development
• Web Application Development
• High Performance Computing
• Quantum Computing
INDUSTRY CERTIFICATIONS
Professional certifications are strongly preferred and should align with the candidate’s area of expertise.
Examples include:
Cybersecurity
• CISSP
• CCSP
• CEH
• Security+
• CySA+
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
Networking and Infrastructure
• CCNA
• CCNP
Project Management
• PMP
• Certified ScrumMaster (CSM)
• ITIL Foundation
WHY JOIN POST UNIVERSITY?
- 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
Interested candidates should submit:
- Curriculum Vitae (CV)
• Cover Letter
• Unofficial or Official Academic Transcripts
• List of Relevant Certifications
• Teaching Philosophy Statement (preferred)
• Professional References
Post University is an Equal Opportunity Employer and is committed to fostering an inclusive and diverse academic community.
As a member of our Post University team, the individual will share in a 135-year tradition of helping people achieve their personal and professional goals. Located in Waterbury, Connecticut, Post University has a vibrant campus and an excellent online program. Founded in 1890, Post University is a student-focused, career-driven university committed to providing students with the knowledge, personal skills, and experience required to be leaders in their chosen fields
Interested candidates should forward cover letter, resume, and three references to Post University Associate Experience.
Disclaimer: This opportunity may be withdrawn and/or amended.
POST UNIVERSITY IS AN EQUAL OPPORTUNITY EMPLOYER that employs in compliance with all applicable laws. 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, Post University.