Cadre & Level:

Professor (AICTE Academic Level 14)

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.

How to Apply
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 [email protected]

📌 Head of Department/Chief Academics Office (Mumbai)
🏢 Angel and Genie
📍 Mumbai