Professor - AI&ML; Artificial Intelligence & Machine Learning
Job in
Kalaburagi, Karnataka, India
Listed on 2026-09-22
Listing for:
Navodaya Education Trust
Full Time
position Listed on 2026-09-22
Job specializations:
-
Education / Teaching
Academic, University Professor, AI Business & Operations, Data Scientist
Job Description & How to Apply Below
Location: Kalaburagi
Position: Professor - AI & ML
Department: Artificial Intelligence & Machine Learning
Institution: Navodaya Institute of Technology
Location:
Raichur Karnataka
Job Overview:
We are seeking an experienced and accomplished Professor – Artificial Intelligence & Machine Learning (AI & ML) to provide academic leadership, teaching, research guidance, and faculty mentoring. The candidate will contribute to curriculum development, research publications, funded projects, industry collaboration, and the overall academic growth of the department.
Key Responsibilities:
Deliver undergraduate and postgraduate courses in AI, Machine Learning, Deep Learning, Data Science, and related areas.
Develop and update course curriculum, teaching materials, and laboratory content.
Guide students in academic projects, dissertations, internships, and research activities.
Conduct and publish high-quality research in reputed journals/conferences.
Lead research projects and seek funding from government and industry agencies.
Mentor faculty members and contribute to departmental academic development.
Participate in accreditation, academic administration, and institutional activities.
Establish industry collaborations and promote innovation, consultancy, and technology transfer.
Eligibility &
Experience:
Ph.D. in Computer Science Engineering, Artificial Intelligence, Machine Learning, from a recognized university.
First Class or equivalent at either Bachelor's or Master's level in the relevant branch.
Minimum 10 years of experience in Teaching/Research/Industry, with at least 3 years at a post equivalent to Associate Professor.
Minimum 6 research publications in SCI/UGC/AICTE-approved journals with at least 2 successful Ph.D. scholars guided as Supervisor/Co-supervisor, OR at least 10 research publications in SCI/UGC/AICTE-approved journals.
Candidates should meet the applicable AICTE/UGC norms and amendments in force at the time of appointment.
Experience in curriculum development, funded research, consultancy, or industry collaboration will be an advantage.
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