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

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 programs. VU is ranked among the best 600 universities globally, placing us in 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 70 out of universities worldwide that are 50 year old and younger.

In India, VU operates from Gurugram (Delhi NCR), offering industry-integrated programs 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 programs 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 programs
• 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 programs
• 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 program delivery
• Ensure compliance with academic policies, accreditation, and quality standards

Qualifications & Selection Criteria

• Ph.D. in 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., Program Lead, Discipline Lead, Head of Department, or equivalent), 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.

Application Process

Applicants must submit:

• Updated Resume (CV)
• Cover Letter
• Details of Teaching Specialisation & Academic Role

For any concerns while submitting your application, please email: careers@daskalos.com