Professor School of Manufacturing Technologies

• Post-doctoral research, international academic exposure, or collaboration with reputed global universities/institutions
• Proven track record of funded research projects, patents, technology transfer, or commercialization
• Experience in working with Industry 4.0 technologies and digital transformation initiatives in manufacturing
• Prior involvement in industry consultancy, sponsored research, or corporate training programs
• Exposure to interdisciplinary teaching integrating engineering, management, and digital technologies
• Experience in developing and managing advanced labs/smart manufacturing labs or centers of excellence
• Strong record in Ph.D. supervision and mentoring research scholars to successful completion
• Leadership experience in academic administration, accreditation (NBA/NAAC/ABET), and curriculum development
• Industry certifications or training in areas such as Lean Six Sigma, Automation, AI/ML, IIoT, or Robotics
• Demonstrated ability in entrepreneurship development, startup incubation, or innovation ecosystems
• Experience in delivering executive education, FDPs, or training programs for professionals
• Recognition through awards, fellowships, or professional society memberships (e.g., IEEE, ASME, SME, etc.)
• Academic Leadership: Demonstrated ability to lead academic programs, mentor faculty, and drive institutional excellence.
• Research & Innovation Orientation: Strong capability to conceptualize, execute, and publish high-impact research in emerging manufacturing and digital technologies.
• Industry Engagement: Ability to collaborate with industry partners for consultancy, funded projects, and technology-driven solutions.
• Strategic & Analytical Thinking: Expertise in applying analytical approaches to solve complex engineering and manufacturing challenges.
• Digital & Technological Agility: Proficiency in leveraging AI, IIoT, automation, and smart manufacturing technologies for teaching and research.
• Teaching & Pedagogical Excellence: Ability to deliver engaging, learner-centric teaching using modern tools, simulations, and experiential learning methods.
• Interdisciplinary Mindset: Ability to integrate engineering, management, and digital transformation concepts effectively.
• Communication & Influencing Skills: Excellent verbal and written communication with the ability to present complex ideas clearly and collaborate across diverse stakeholders.
• Innovation & Design Thinking: Strong orientation towards problem-solving, creativity, and innovation-led teaching and research.
• Project & Program Management: Ability to manage academic programs, research projects, and institutional initiatives efficiently.
• Ethical & Sustainability Focus: Commitment to environmental, health, safety, and sustainability (EHSS) standards in education and research.
• Entrepreneurial Mindset: Ability to promote entrepreneurship, startups, and innovation ecosystems within the institution.

• Deliver high-quality teaching in advanced domains such as smart manufacturing, industrial automation, robotics, AI-driven manufacturing, and cyber-physical systems.
• Develop and update curriculum aligned with Industry 4.0, IIoT, digital twin, and emerging manufacturing technologies.
• Lead and conduct impactful research in areas like data analytics for manufacturing, edge computing, reliability engineering, and automation systems.
• Publish research papers in reputed journals and secure research funding, grants, and consultancy projects.
• Establish and strengthen industry collaborations for projects, internships, and applied research.
• Mentor students, research scholars, and junior faculty for academic and professional growth.
• Drive initiatives in innovation, design thinking, and entrepreneurship development.
• Teach and integrate management concepts such as lean manufacturing, supply chain management, project management, and financial analysis.
• Contribute to institutional leadership, including curriculum design, accreditation processes, and academic planning.
• Promote interdisciplinary learning across engineering, management, and digital technologies.
• Ensure focus on environment, health, safety, and sustainability (EHSS) in teaching and research practices.
• Support development of labs, digital platforms, and smart manufacturing ecosystems within the institution.

Interested candidates may submit their resume to the provided email address.

Professor will serve as a senior academic leader driving excellence in teaching, research, and industry engagement in the domain of advanced and smart manufacturing systems. This role focuses on delivering cutting-edge education aligned with Industry 4.0 technologies, including AI-driven manufacturing, IIoT, automation, and digital transformation.