The Associate Professor of Computer Science will be responsible for delivering high-quality teaching, conducting impactful research, mentoring students, and contributing to academic administration. The role requires active involvement in curriculum development, research publications, industry collaboration, accreditation activities, and fostering innovation through funded projects and consultancy.
Role & responsibilities
Teaching & Academic Delivery
- Deliver undergraduate, postgraduate, and doctoral courses in Computer Science.
- Design and update course curriculum in line with NEP, industry requirements, and emerging technologies.
- Develop innovative teaching methodologies using case studies, project-based learning, and digital tools.
- Supervise student projects, internships, dissertations, and capstone projects.
- Evaluate student performance and provide academic mentoring.
Research & Scholarly Activities
- Publish high-quality research papers in Scopus, SCI/SCIE, ABDC, or other reputed indexed journals.
- Secure externally funded research projects from agencies such as DST, AICTE, SERB, DRDO, ISRO, MeitY, or industry.
- Guide Ph.D. scholars and Master's research students.
- Present research at national and international conferences.
- Establish interdisciplinary research collaborations.
Industry Engagement
- Develop partnerships with technology companies and research organizations.
- Facilitate internships, live projects, guest lectures, and industry-sponsored research.
- Promote consultancy assignments and technology transfer initiatives.
- Organize workshops, hackathons, coding competitions, and technical seminars.
Academic Administration
- Participate in departmental planning and strategic initiatives.
- Contribute to NBA, NAAC, NIRF, and other accreditation processes.
- Serve on academic committees and support institutional quality initiatives.
- Assist in admissions, examinations, curriculum review, and academic governance.
Student Development
- Mentor students for placements, entrepreneurship, and higher education.
- Support innovation, incubation, and startup initiatives.
- Encourage participation in coding contests, research competitions, and professional societies.
Preferred candidate profile
Qualifications
- Ph.D. in Computer Science, Computer Engineering, Information Technology, or a closely related discipline from a recognized university.
- Bachelor's and Master's degree as per UGC/AICTE norms.