Professor - AI&ML(Artificial Intelligence & Machine Learning)

Navodaya Education Trust; Raichur District; On-site; INR 1,500,000 - 2,300,000; Full time

Job summary

Navodaya Institute of Technology in Raichur, Karnataka invites applications for a Professor – Artificial Intelligence & ML. The role demands academic leadership, teaching, and mentoring with a focus on AI/ML curricula, research leadership, and industry collaborations. The candidate should have a Ph.D.

in CS/AI/ML with 10+ years of teaching/research/industry experience, and a strong publication record. Responsibilities include curriculum development, supervision of Ph.D.

Qualifications

• Ph.D. in Computer Science Engineering, AI or ML from a recognized university.
• First Class or equivalent at 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 Associate Professor level.
• Minimum 6 publications in SCI/UGC/AICTE-approved journals with at least 2 Ph.D. scholars guided (Supervisor/Co-supervisor) or 10 publications in SCI/UGC/AICTE journals.
• Meet AICTE/UGC norms and amendments; experience in curriculum development, funded research, consultancy, or industry collaboration is advantageous.

Responsibilities

• Deliver undergraduate and postgraduate courses in AI, ML, 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.

Skills

Academic leadership

Teaching

Research guidance

Faculty mentoring

Industry collaboration

Education

Ph.D. in Computer Science Engineering, Artificial Intelligence, Machine Learning

Bachelor's or Master's with First Class or equivalent

Job description

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.