Lecturer (Early Career Faculty)/ Assistant Professor/ Associate Professor - Information Technology & Artificial Intelligence ; Victoria University, Delhi NCR
Emeritus
- Job Type: Full-Time
- Function: Professional Svcs
- Industry: Edtech
- Post Date: 04/17/2026
- Website: emeritus.org
- Company Address: 78 Shenton Way, Singapore, SG, 079120
About Emeritus
Emeritus is committed to teaching the skills of the future by making high-quality education accessible and affordable to individuals, companies, and governments around the world. It does this by collaborating with more than 50 top-tier universities across the United States, Europe, Latin America, Southeast Asia, India and China.Job Description
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