Professor - Computer Science

Specializations:

• Artificial Intelligence / Machine Learning
• Data Analytics
• IoT
• Cloud Computing
• Cyber Security
• Full Stack Development

Responsibilities:

• Curriculum development and enhancement to stay current with industry trends.
• Supervision of students and academic research projects, including Ph.D. candidates.
• Exam administration and assessment of student performance.
• Academic consultancy and collaboration with industry or research organizations.
• Conducting and publishing high-quality research in reputable journals.
• Mentoring students and junior faculty members.
• Leading departmental initiatives and contributing to strategic planning.
• Securing research funding and managing research grants.
• Organizing seminars, workshops, and conferences in the field of computer science.
• Participation in academic committees and university governance.
• Staying updated with advancements in computer science and integrating them into teaching and research.
• Developing partnerships with external institutions and fostering interdisciplinary collaboration.

Qualifications:

• A Ph.D. in Computer Science Engineering is highly desirable, M.Tech. (Computer Science) or B.Tech (Computer Science)
• A minimum of 10 years of university-level teaching experience, including at least 05 years university-level teaching experience post-PhD. degree.
• A minimum 03 years of university-level teaching experience as an "Associate Professor" and and 5 years as "Assistant Professor"
• A minimum of 02 SCI (non-paid) publication as the first author, 4 SCI / Scopus as the first or second author (non-paid) or ABDC.
• The ideal candidate must have supervised to at least 02 accomplished Ph.D. degree students.