Lecturer (Early Career Faculty)/ Assistant Professor/ Associate Professor in IT & AI

Job Title:

Lecturer (Early Career Faculty)/ Assistant Professor/ Associate Professor in IT & AI

Job Level:

Level A/ B/ C

Location:

Gurugram, Delhi NCR.

Employment Type:

Full-Time

About Victoria University

Victoria University (VU) is a leading dual-sector tertiary institution based in Melbourne, Australia, offering both higher education and TAFE programs. With over 42,000 students globally, including a strong international presence, VU operates across multiple campuses in Melbourne, Sydney, and partner institutions in Asia (Sri Lanka and China).

Guided by its strategic plan “Start Well, Finish Brilliantly 2022–28”, the University aims to become a global leader in dual-sector learning and impactful research. VU is known for its industry partnerships, innovative teaching models, and commitment to creating career-ready graduates while fostering inclusive and future-focused education.

In India, Victoria University (VU) is establishing its first India campus in Gurugram, Delhi NCR, scheduled to open in mid-2026, delivering industry-aligned programs with a global curriculum. The Gurugram campus focuses on emerging technologies such as Artificial Intelligence, Data Science, and Information Technology, providing students with international exposure, practical learning, and strong industry connections.

Position Summary

The Lecturer (Early Career Faculty)/ Assistant Professor/ Associate Professor in IT & AI (Level A/B/C) will play a pivotal role in advancing teaching, research, and curriculum innovation within the Information Technology Program under the College of Arts, Business, Law, Education and IT.

This position focuses on integrating Generative AI (GenAI) and Large Language Models (LLMs) into teaching, research, and industry engagement. The successful candidate will contribute to program growth by modernising courses, increasing student enrolments, and strengthening expertise in AI, cybersecurity, data science, and ICT management.

Indicative Areas of Expertise

• Artificial Intelligence & Generative AI (LLMs, RAG, copilots)
• Cybersecurity & Network Management
• Data Science & Analytics
• Cloud & Mobile Application Development
• Software Development & UI/UX
• ICT & Project Management

Key Responsibilities

1. Teaching & Coordination

• Deliver and coordinate IT units across onshore and transnational campuses (Sydney, Brisbane, Sri Lanka, China).
• Integrate GenAI tools (LLM APIs, RAG systems, copilots like Claude Code/OpenAI Codex) into at least two units annually.
• Design assessments, ensure marking consistency, and maintain academic standards.

2. Curriculum Innovation & Student Experience

• Lead course modernisation using GenAI-driven teaching methodologies (flipped, hybrid, online).
• Continuously update curriculum aligned with industry trends and emerging technologies.
• Enhance student engagement and support enrolment growth initiatives.

3. Research & Scholarship

• Conduct applied research in LLMs, AI, and related domains.
• Publish high-quality research (minimum one Q1 or CORE A* paper annually).
• Develop demonstrable AI systems for lab use and online showcases.

4. Supervision & Mentoring

• Design innovative honours, master’s, and capstone projects involving GenAI applications.
• Supervise undergraduate and postgraduate research students.

5. Service & Industry Engagement

• Contribute to research grant proposals and industry collaborations.
• Participate in academic administration, quality assurance, and compliance activities.
• Engage with industry partners and maintain cross-cultural collaboration.

Qualifications & Selection Criteria

Essential

Assistant Professor: PhD (or equivalent) in Information Technology, Artificial Intelligence, or a related discipline.

Lecturer (Early Career Faculty): Master’s degree and/or currently a PhD candidate in Information Technology, Artificial Intelligence, or a related discipline.

• Relevant teaching experience Demonstrated expertise in GenAI/LLMs (API integration, RAG, copilots). Strong teaching capability across IT domains.
• Proven research track record (Q1 / CORE A* publications).
• Experience in curriculum development and GenAI integration.
• Ability to design real-world AI-driven systems.
• Strong communication, organisational, and interpersonal skills.
• Commitment to professional standards, ethics, and university policies

Desirable

Experience securing competitive research funding.

Application Requirements

Applicants are required to submit with the following documents:

• Resume (Curriculum Vitae)
• Cover Letter

If you experience any issues while submitting your application, please email: career@daskalos.com