Role Overview
Emeritus is hiring a mid-level Assistant Professor in Information Technology & Artificial Intelligence. This is a full-time role in Gurugram. Part of Emeritus's Fullstack hiring. Full responsibilities, required qualifications, and the apply link are listed in the description below.
Salary Context
Salary is not disclosed in this posting. Market median for Mid-level Fullstack roles is $120k-$156k (based on 17 comparable listings). Many employers share specifics during the interview process or after an initial screen.
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Job Description
Position: Assistant Professor – Information Technology & Artificial Intelligence. 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 Assistant Professor – Information Technology & Artificial Intelligence will hold a senior academic position within the School of Technology 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
About Emeritus
Emeritus
emeritus.org
2 other open roles at Emeritus on TryApplyNow.
Frequently Asked Questions
How do I apply for the Assistant Professor in Information Technology & Artificial Intelligence position at Emeritus?
Use the Apply button above to submit your application directly to Emeritus. Most applications take less than 5 minutes if your resume and contact details are ready, and you'll be routed to the employer's official application system to finish.
Where is the Assistant Professor in Information Technology & Artificial Intelligence position at Emeritus located?
This position is based in Gurugram. Emeritus has not indicated remote or hybrid options for this role, so candidates should plan for on-site work.
What does a Assistant Professor in Information Technology & Artificial Intelligence at Emeritus earn?
Emeritus has not disclosed a salary range in this posting. Many employers share specifics later in the interview process; you can also ask during a recruiter screen if compensation transparency is important to you.
When was the Assistant Professor in Information Technology & Artificial Intelligence role at Emeritus posted?
This role was posted on May 10, 2026 (48 days ago). It's still listed as actively hiring; we re-confirm openings against the source system multiple times per day and remove closed roles.
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