Associate Faculty – Master of Science in Computer Science

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.

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

• 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

Application Materials

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