Job Description

We are seeking a qualified and motivated individual for the position of Assistant Professor in Computer Applications. The candidate will be responsible for delivering high-quality instruction, conducting research, and participating in departmental and institutional activities.

Key Responsibilities:Teaching:

Teach undergraduate and postgraduate courses in Computer Applications (e.g., BCA, MCA). Prepare course materials such as syllabi, lecture notes, assignments, and exams. Use modern teaching methodologies including digital tools and learning management systems (LMS). Supervise student projects, internships, and dissertations.

Research:

Conduct original research in areas such as Artificial Intelligence, Machine Learning, Data Science, Software Engineering, Cybersecurity, etc. Publish research findings in reputed journals and present at national/international conferences. Apply for research grants and collaborate with industry or academic partners.

Academic Contribution:

Mentor and guide students in academic and career-related matters. Participate in curriculum development and revision. Organize or assist in academic events, workshops, seminars, and conferences.

Administrative:

Serve on departmental and institutional committees. Assist in student admissions, exams, and other academic processes. Maintain records and documentation as per institutional and accreditation norms.

Qualifications:Essential:

Master's Degree (MCA / M.tech Computer Science or equivalent). UGC NET qualification (as per UGC norms) or Ph.D. in Computer Science / Applications.

Desirable:

Ph.D. in Computer Applications / Computer Science. Industry certifications (e.g., AWS, Google Cloud, Cisco, Microsoft). Experience with modern teaching tools (e.g., Moodle, Blackboard, Google Classroom).

Skills Required:

Strong knowledge in programming languages (e.g., Java, Python, C++, etc.). Proficiency in database systems, web development, and software engineering principles. Effective communication and presentation skills. Ability to work collaboratively with faculty, staff, and students. Commitment to continuous learning and innovation in teaching.
Job Type: Full-time

Work Location: In person