Cadre & Level: Professor (AICTE Academic Level 14)
Location: Bengaluru, Karnataka (On-Campus)
Engagement: Full-time, Regular
About the Role
We are seeking an exceptionally qualified academic and industry leader to serve as the Chief Academic Officer (CAO) / Head of Department for our AI, Automation & Built Environment Technologies vertical.
This role bridges conventional academic excellence with cutting-edge OEM industry integration (SMC Corporation, Schneider Electric, FANUC, Lucas-Nülle, Bharat Electronics, and IIT Ropar). The CAO will own academic governance, statutory compliance, laboratory utilization, research agenda, and placement outcomes across five core undergraduate, postgraduate, and diploma programs.
Programmes Owned
- B.Tech — AI, Robotics & IIoT
- BBA — Building Management Technology
- PGDM — AI & ML Industrial Automation 4.0
- PGDM — Global
- MBA — Applied AI for Automation
Mandatory Eligibility Criteria
1. Academic & Statutory Norms (AICTE Level 14)
- Ph.D. in AI, CS, Electronics, Electrical, Instrumentation, Mechatronics, Mechanical, Industrial Engineering, Building Services, or Management with a technology specialization.
- First Class at Bachelor’s or Master’s level (M.E./M.Tech. or 2-year full-time MBA/PGDM).
- 10+ years of total experience in teaching, research, or industry (minimum 3 years as Associate Professor or above).
- 10+ research publications in SCI, Scopus, or UGC-CARE listed journals.
- Ph.D. Supervision: Successfully guided at least 2 Ph.D. scholars (as supervisor/co-supervisor) or recognized guide status with an approved university.
2. Dual-Track Requirement (Mandatory Evaluation)
- Track A (Industry & Technology): Minimum 3 years of hands-on or leadership experience in industrial automation, AI deployment, robotics, IIoT, or building automation within a live plant, OEM, facilities operator, or technology consultancy.
- Track B (Academic & Governance): Proven leadership of an academic department/program with direct accountability for P&L, budget, faculty management, AICTE approvals, and NBA/NAAC accreditation cycles.
Key Performance Expectations
- Accreditation & Compliance: Ensure zero adverse findings in AICTE, university, NBA, and NAAC audits; maintain 1:2:6 cadre ratio.
- Lab Utilization: Achieve ≥70% utilization of the state-of-the-art SMC AIT-400 AI Machine Lab and allied facilities.
- Industry & Placements: Drive high-value placement outcomes and industry internships via our global hiring network (Schneider Electric, SMC, FANUC, JLL, CBRE, Qualcomm, Blue Star, etc.).
- Research & Revenue: Supervise doctoral research, submit funded proposals (DST, SERB, AICTE, MeitY), and drive corporate training revenue.
Interested candidates who meet both the AICTE Professor norms and the dual-track industry/academic criteria may send their updated CV, list of publications, and proof of academic/industry leadership to Anuradha.ang@gmail.com
