Assistant Professor-Computer Science
Rama University · Kanpur, Uttar Pradesh, India
Apply & track with Apply EdgeJob Description – Assistant Professor (Computer Science & Engineering)Position: Assistant Professor – Computer Science & Engineering (CSE) Department: Faculty of Engineering & Technology Organization: Rama University, Kanpur, Uttar Pradesh Employment Type: Full-TimeAbout Rama UniversityRama University is committed to delivering quality education, promoting research, and fostering innovation. The Faculty of Engineering & Technology invites applications from dedicated academicians who are passionate about teaching, research, and academic excellence.Key ResponsibilitiesDeliver high-quality lectures, tutorials, laboratory sessions, and project guidance for B.Tech/M.Tech students.Teach core Computer Science subjects such as Data Structures, Algorithms, DBMS, Operating Systems, Computer Networks, Software Engineering, Programming Languages, Artificial Intelligence, Machine Learning, Data Science, Cyber Security, Cloud Computing, and related domains.Develop lesson plans, course materials, and assessment methods in accordance with university guidelines.Mentor students for academic projects, internships, placements, and career development.Conduct research and publish papers in reputed journals/conferences.Contribute to curriculum development, Outcome-Based Education (OBE), NBA/NAAC accreditation activities, and departmental administration.Participate in academic events, FDPs, workshops, seminars, conferences, and institutional development initiatives.Eligibility CriteriaEssential Qualification: B.Tech and M.Tech in Computer Science & Engineering (or a relevant specialization) with a consistently good academic record.Ph.D. in Computer Science & Engineering or a related discipline is Preferred.Candidates must meet applicable UGC/AICTE eligibility norms. ExperienceMinimum 3 years of teaching, research, or relevant industry experience in Computer Science/Engineering.Candidates with research publications, funded projects, patents, or industry exposure will be given preference.