Live opening · Posted 2 days ago

Principal / Director – RGPV Affiliated Engineering College

Indore Institute of Science and Technology · Indore, Madhya Pradesh, India (On-site)
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Posted 2 days ago
CompanyIndore Institute of Science and Technology
LocationIndore, Madhya Pradesh, India (On-site)
Work modeNo
SourceLinkedin
Listed2 days ago

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About the role

Description supplied by the original job listing.

Indore Institute of Science and Technology (IIST) is part of the IIST Group of Institutes, which also includes Indore Institute of Pharmacy (IIP) and Indore Institute of Management and Research (IIMR), situated on a 43-acre campus opposite IIM Indore. With a legacy of over 23 years, the group is a recognized academic destination, focused on holistic student development across intellectual, emotional, social, and wellbeing dimensions. The institutes emphasize enhancing employability while aligning with university guidelines and evolving industry demands and technological advancements. IIST has earned NAAC A+ accreditation, while IIP and IIMR hold NAAC A grades, reflecting strong academic quality and governance. Over the last five years, the group has emerged among the top engineering, pharmacy, and management colleges in Madhya Pradesh, offering a dynamic environment for academic leaders.
Job Title: Principal / Director – College of Engineering
Department: Academic Leadership & Administration
Specialization: Computer Science & Engineering (CSE) / Artificial Intelligence (AI) & Machine Learning
Location: Indore
Employment Type: Full-time
About the Role
We are seeking an visionary, dynamic, and research-driven academic leader to step into the role of Principal for our AICTE-approved and University-affiliated Engineering Institute.
As the Principal, you will serve as the chief academic and administrative officer, driving institutional growth, curriculum modernizations (integrating cutting-edge AI/CSE technologies), NBA/NAAC accreditations, industry-academia partnerships, and high-impact research.
Key Responsibilities
Academic & Administrative Leadership: Provide strategic direction to all engineering departments with a strong focus on aligning CSE/AI programs with global industry demands.
Accreditation & Compliance: Lead and ensure full compliance with regulatory bodies (AICTE, UGC, Affiliated University) and spearhead campaigns for NAAC, NBA, and NIRF rankings.
Research & Innovation: Drive R&D initiatives, secure government/industry research grants, foster patents, and cultivate an ecosystem for student/faculty startups and incubation centers.
Industry Collaboration: Establish strong ties with IT and AI tech companies to secure placements, internships, guest lectures, and industry-sponsored labs.
Faculty & Student Mentorship: Recruit, mentor, and retain top-tier academic talent; promote faculty development programs (FDPs) in emerging technologies like Generative AI, Cloud Computing, and Data Science.
Qualifications & Experience
Education: Ph.D. in Computer Science & Engineering (CSE), Artificial Intelligence, Machine Learning, Data Science, or a closely related technical field from a recognized university/institution of repute.
Eligibility: Must fulfill AICTE / UGC norms for the position of Principal/Professor.
Experience:
Minimum 10–15+ years of combined experience in Teaching, Research, and Academic Administration.
At least 3–5 years in a senior administrative leadership role (e.g., Dean, Head of Department, Vice-Principal, or Director/Principal).
Research Track Record: Substantial list of high-impact publications in SCI/Scopus-indexed journals, patents, and successful research grant acquisitions.
Preferred Skills & Attributes
Expertise in modern pedagogical trends, Outcome-Based Education (OBE), and multidisciplinary learning under NEP guidelines.
Strong network within the IT/Software/AI industry and academic circles.
Outstanding leadership, communication, decision-making, and financial planning abilities.
What We Offer
Highly competitive salary aligned with AICTE standards (negotiable for exceptionally qualified candidates).
Administrative autonomy to innovate and shape future-ready engineering education.
State-of-the-art infrastructure, computing labs, and institutional support for research and consultancy projects.

Work arrangement
No

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