Job description
About the Company
Mohan Babu University invites applications from passionate academicians with strong credentials in teaching, research, innovation, and academic administration to join the School of Computing. The University seeks faculty members committed to academic excellence, outcome-based education, interdisciplinary research, industry collaboration, and institutional development.
About the Role
JOB DESCRIPTION Positions: Professor / Associate Professor / Assistant Professor School of Computing
Responsibilities
Key Responsibilities
Teaching & Learning
Deliver undergraduate, postgraduate, and doctoral courses.
Prepare lesson plans, course materials, assessments, and laboratory manuals.
Adopt innovative teaching methodologies and Outcome-Based Education practices.
Mentor students in academics, research, internships, placements, and career development.
Research & Innovation
Undertake quality research leading to publications in reputed journals and conferences.
Secure sponsored research projects, consultancy assignments, patents, and technology transfer opportunities.
Guide undergraduate projects, postgraduate dissertations, and doctoral scholars, as applicable.
Promote interdisciplinary research, innovation, entrepreneurship, and startup initiatives.
Academic Administration
Participate in curriculum design and revision.
Contribute to accreditation (NBA/NAAC), NIRF rankings, IQAC initiatives, and quality assurance processes.
Participate in examination, assessment, academic governance, and departmental committees.
Support institutional policies, strategic initiatives, and regulatory compliance.
Industry & Institutional Engagement
Establish collaborations with industry, research organizations, and academic institutions.
Organize conferences, faculty development programmes, workshops, seminars, and outreach activities.
Promote consultancy, internships, industry interaction, and community engagement.
Qualifications
Essential Qualifications
B.E./B.Tech. and M.E./M.Tech. with First Class in the relevant discipline.
Ph.D. in the relevant discipline from a recognized university (desirable for Assistant Professor; mandatory for Associate Professor and Professor as per applicable norms).
Experience Requirements
Assistant Professor
Strong academic record with B.E./B.Tech. and M.E./M.Tech.
Ph.D. completed or pursuing is desirable.
Teaching, research, industry experience, publications, patents, or consultancy will be an added advantage.
Associate Professor
Ph.D. in the relevant discipline.
Minimum 5 years of post-Ph.D. teaching/research/industry experience at the level of Assistant Professor or equivalent.
Good research publications and experience in funded projects, consultancy, or research guidance are desirable.
Professor
Ph.D. in the relevant discipline.
Minimum 10 years of teaching/research/industry experience, including at least 5 years as an Associate Professor or equivalent.
Proven academic leadership with a strong record of research publications, funded projects, consultancy, patents, Ph.D. guidance, and institutional development.
Required Skills
Areas of Specialization
Applicants with expertise in one or more of the following domains are encouraged to apply:
Computer Science & Engineering
Artificial Intelligence & Machine Learning
Data Science & Analytics
Cyber Security
Cloud Computing
Internet of Things (IoT)
Blockchain Technologies
Computer Vision
Software Engineering
Computer Networks & Distributed Systems
Full-Stack Development
Augmented & Virtual Reality
Desired Skillets
Strong academic foundation in Computer Science & Engineering or allied disciplines.
Passion for teaching, research, innovation, and student mentoring.
Proven ability to publish in reputed Scopus/Web of Science-indexed journals.
Exposure to funded research projects, consultancy, patents, and technology transfer is desirable.
Knowledge of Outcome-Based Education (OBE), NBA/NAAC accreditation processes, and curriculum development.
Excellent communication, interpersonal, leadership, and mentoring skills.
Preferred Skills
Preferred Attributes
Commitment to academic excellence and continuous professional development.
Ability to work collaboratively in multidisciplinary teams.
Leadership potential with strong organizational and problem-solving skills.
High ethical standards, integrity, and commitment to institutional values.
Role: University Level Educator - Other
Industry Type: Education / Training
Department: Teaching & Training
Employment Type: Full Time, Permanent
Role Category: University Level Educator
Education
PG: MCA in Computers, Artificial Intelligence and Machine Learning, M.Tech in Artificial Intelligence and Machine Learning, Computers
Doctorate: Ph.D/Doctorate in Systems, Computers