Assistant Professor of Computer Science (Data Science, AI - ML, Cyber Security)

Designation: Assistant Professor - Computer Science (Data Science, AI - ML, Cyber Security)

Job Description

• Teaching & Learning
• Deliver lectures and tutorials to undergraduate and postgraduate students.
• Design and update curriculum in alignment with industry and academic standards.
• Use modern pedagogical techniques and e-learning tools.
• Conduct evaluations, assessments, and student performance reviews.
• Supervise final-year projects, dissertations, and student research work.
• Research & Publications
• Undertake original research and publish in peer-reviewed national and international journals (preferably Scopus/WoS indexed).
• Apply for and manage funded research projects from government or private organizations.
• Guide Ph.D. and postgraduate research scholars.
• Academic Leadership
• Provide mentorship to junior faculty members and researchers.
• Participate in faculty development and training programs.
• Contribute to departmental strategic planning and policy formulation.
• Administrative Responsibilities
• Serve on academic and administrative committees.
• Participate in accreditation, quality assurance, and regulatory compliance processes.
• Organize seminars, workshops, and conferences.
• Outreach & Collaboration
• Foster academic collaborations with industries, research institutions, and universities.
• Engage in consultancy projects and community outreach initiatives.

Qualifications & Experience

Essential

• Ph.D. in the relevant discipline.
• M.Tech & B.Tech with at least 55% marks (or an equivalent grade).
• Minimum 8 years of teaching and/or research experience in an academic/research position equivalent to that of Assistant Professor.
• Minimum 10 high-quality research publications in refereed journals (Scopus-indexed preferred).
• A minimum API (Academic Performance Indicator) score of 75 (as per UGC norms).

Desirable

• Experience in curriculum design, accreditation (NAAC, NBA), and innovative pedagogy.
• Exposure to international academic standards and collaborative research.
• Experience in guiding doctoral research.
• Contributions to institution-building activities.