Assistant/Associate Professor

Key Responsibilities

• Teach undergraduate and/or postgraduate courses in Computer Science and related disciplines.
  • Conduct practical sessions, workshops, and laboratory classes in programming, algorithms, artificial intelligence, cybersecurity, and other computer science domains. • Guide students in research projects, internships, and industry collaborations. • Evaluate student performance through examinations, assignments, and projects. • Stay updated with emerging trends in computer science and integrate them into the curriculum. • Participate in faculty meetings, conferences, and professional development programs.

Skills and Competencies

• Strong knowledge of programming languages such as Python, Java, C++, and JavaScript.
  • Expertise in data structures, algorithms, databases, and software engineering. • Knowledge of AI, ML, cybersecurity, cloud computing, or IoT will be an added advantage. • Proficiency in using Learning Management Systems (LMS) and online teaching tools. • Excellent communication and presentation skills. • Strong research and analytical skills with the ability to publish academic work. • Adaptability to new technologies and innovative teaching methodologies. • Teamwork and leadership skills for academic and research collaborations.

Experience Requirements

• Minimum 3+ years of teaching experience in Computer Science or a related field (as applicable to the position).
  • Research experience and publications in reputed journals are preferred.

Eligibility Criteria

• Ph.D. in the relevant discipline or a closely related field, preferably from IITs, NITs, or other reputed institutions.
• First Class (or equivalent CGPA) in both B.Tech and M.Tech degrees, preferably from IITs, NITs, or other reputed institutions.
• Candidates must have obtained their qualifying degrees from, or be currently working at, institutions ranked within the Top 100 of the National Institutional Ranking Framework (NIRF).
• Candidates currently working in the IT industry are encouraged to apply
• A strong research profile with publications in SCI and/or Scopus-indexed journals.

Pay Scale

• Salary is not a constraint for deserving candidates.

Application Process

Interested candidates are requested to share their updated CVs to:
bmeenasupriya@kluniversity.in

For queries, please contact:
+91 91000 54787