Associate Professor & Discipline Lead – Information Technology & Artificial Intelligence, Victo[...]

Emeritus; Gurugram District; On-site; INR 1,000,000 - 1,600,000; Full time

Job summary

Emeritus is seeking an experienced Associate Professor – Information Technology & Artificial Intelligence in Gurugram, Haryana. This senior academic role includes leading curriculum innovation, delivering high-quality education, and mentoring faculty. Ideal candidates will possess a Ph.D., demonstrated excellence in teaching, industry engagement, and substantial experience in higher education. Join a globally recognized institution focused on dual-sector learning and research excellence in emerging technologies.

Qualifications

• Ph.D. in Information Technology, Computer Science, Artificial Intelligence or a related field.
• Record of high-quality teaching and academic publications.
• Experience in leadership roles in academia.

Responsibilities

• Deliver high-quality teaching across IT and AI programmes.
• Lead curriculum design and participate in research.
• Mentor junior faculty and supervise postgraduate students.

Job description

Position: Associate Professor – Information Technology & Artificial Intelligence ( Discipline Lead )

Location: Victoria University, Gurugram, Haryana (Delhi NCR)

Employment Type: Full-Time

About the University

Victoria University (VU), based in Melbourne, Australia, is a globally recognised dual‑sector institution offering higher education and TAFE programmes. VU is ranked among the best 600 universities globally, placing us in the top 3% of universities worldwide. Known for its innovative teaching methodologies and strong industry engagement, VU delivers globally aligned, career‑focused education. VU is also ranked 70th among universities worldwide that are 50 years old and younger.

In India, VU operates from Gurugram (Delhi NCR), offering industry‑integrated programmes with a strong emphasis on experiential learning and employability outcomes. The University aims to be a global leader in dual‑sector learning and research by 2028.

Position Summary

The Associate Professor – Information Technology & Artificial Intelligence will hold a senior academic position within the School of Technology and will also be Discipline Lead, contributing to teaching excellence, curriculum leadership, research, and academic governance.

The role involves delivering and leading programmes in IT and AI disciplines, mentoring faculty, driving innovation in teaching and research, and strengthening industry‑academic collaborations. The appointee will contribute to high‑impact research and support the University’s strategic vision in emerging technologies.

Indicative Areas of Expertise

• Artificial Intelligence & Machine Learning
• Data Science & Big Data Analytics
• Software Engineering & Full Stack Development
• Cloud Computing & Distributed Systems
• Cybersecurity & Information Systems
• Internet of Things (IoT) & Emerging Technologies

Key Responsibilities

• Deliver high-quality teaching across undergraduate and postgraduate IT and AI programmes.
• Facilitate learning through face‑to‑face, online and blended modes.
• Develop hands‑on, project‑based and industry‑relevant learning experiences.
• Lead curriculum design, development and continuous improvement in IT and AI programmes.
• Ensure alignment with global standards, emerging technologies and industry needs.
• Coordinate subjects/units and mentor junior faculty members.
• Conduct high‑quality research and publish in reputed journals and conferences.
• Contribute to the University’s research strategy and innovation agenda.
• Lead or collaborate on funded research and industry projects.
• Establish and maintain partnerships with technology companies and industry stakeholders.
• Integrate real‑world applications, tools and case studies into teaching.
• Support internships, capstone projects and experiential learning initiatives.
• Supervise postgraduate research students (Masters/PhD).
• Provide academic mentoring and career guidance to students.
• Participate in assessment, moderation and quality assurance processes.
• Contribute to academic governance and institutional committees.
• Support international collaborations and programme delivery.
• Ensure compliance with academic policies, accreditation and quality standards.

Qualifications & Selection Criteria

• Ph.D. in Information Technology, Computer Science, Artificial Intelligence or a closely related discipline from a recognised and reputable university.
• Demonstrated record of academic excellence, including high‑quality teaching, research publications and curriculum development.
• Substantial experience in higher education, preferably within well‑regarded national or international institutions.
• Proven leadership experience in academic roles (e.g., Programme Lead, Discipline Lead, Head of Department) with the ability to mentor faculty and drive academic initiatives.
• Strong industry engagement and the ability to build partnerships that enhance student learning and employability outcomes.
• Experience in academic governance, accreditation processes and quality assurance frameworks is desirable.
• Excellent interpersonal, communication and organisational skills, with the ability to work collaboratively in a multicultural academic environment.