Associate Faculty - Master of Science in Computer Science

Core Areas: Machine Learning, Deep Learning, Systems Architecture. Post University believes that personalized guidance, unwavering motivation, robust support, and a student‑centered education are the catalysts that allow students to achieve their individual academic and career goals. Our Associate Faculty play a central role in bringing this mission to life, especially for students navigating their first year of college. They foster learning environments where students feel supported, motivated, and connected to the university community, helping them develop the skills, confidence, and sense of belonging needed to persist academically and grow into workforce‑ready, socially responsible learners. 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: CISSP, CCSP, CEH, Security+, CySA+ (Cybersecurity) AWS Solutions Architect, AWS DevOps Engineer, Microsoft Azure Solutions Architect Expert, Google Professional Cloud Architect (Cloud Computing) Google Professional Machine Learning Engineer, Microsoft Azure AI Engineer Associate, Databricks Data Engineer Certifications (Artificial Intelligence and Data Science) CCNA, CCNP (Networking and Infrastructure) PMP, Certified ScrumMaster (CSM), ITIL Foundation (Project Management) 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. Part‑time. #J-18808-Ljbffr Post University