JOB DESCRIPTION
Designation: Assistant Professor
Department: Artificial Intelligence & Machine Learning (AI & ML)
Essential Qualifications (AICTE Norms)
- B.E./B.Tech. and M.E./M.Tech. in relevant disciplines with First Class or equivalent at either Bachelor’s or Master’s level.
- Specialization in Artificial Intelligence & Machine Learning, Computer Science & Engineering, Data Science, Information Technology, Information and Communication Technology, or related disciplines.
- Ph.D. is desirable and will be given preference.
- Demonstrated aptitude for teaching, research, innovation, and student mentoring.
Preferred Expertise
Candidates with expertise in one or more of the following areas will be preferred:
- Artificial Intelligence
- Machine Learning
- Deep Learning
- Generative AI and Large Language Models (LLMs)
- Natural Language Processing
- Computer Vision
- Reinforcement Learning
- Data Science and Analytics
- MLOps and AI Deployment
- Internet of Things (IoT)
- Edge AI
- Blockchain Technologies
- Mobile Application Development
- Responsible AI and AI Ethics
Key Responsibilities
Teaching & Learning
- Deliver undergraduate and postgraduate courses in AI & ML and related domains.
- Conduct laboratory sessions and project-based learning activities.
- Develop course materials, lesson plans, and assessment instruments.
- Evaluate student performance and provide academic mentoring.
Research & Innovation
- Engage in quality research leading to publications in indexed journals and conferences.
- Participate in funded projects, consultancy assignments, patents, and innovation initiatives.
- Support interdisciplinary research and industry collaborations.
Academic Administration
- Participate in curriculum development and continuous improvement activities.
- Contribute to accreditation, ranking, and quality assurance processes.
- Assist in departmental and institutional academic activities.
Student Development
- Mentor students for internships, placements, research projects, and entrepreneurship initiatives.
- Encourage participation in hackathons, coding competitions, and innovation challenges.
JOB DESCRIPTION
Designation: Associate Professor
Department: Artificial Intelligence & Machine Learning (AI & ML)
Essential Qualifications (AICTE Norms)
- B.E./B.Tech. and M.E./M.Tech. with First Class or equivalent in the relevant discipline.
- Ph.D. in Artificial Intelligence & Machine Learning, Computer Science & Engineering, Data Science, Information Technology, or a related field.
- Minimum 6 years of post-Ph.D. experience in teaching, research, industry, or a combination thereof.
- Significant research contributions evidenced through quality publications, patents, funded projects, or consultancy.
Preferred Expertise
- Generative AI and Large Language Models
- Deep Learning
- Natural Language Processing
- Computer Vision
- AI for Healthcare
- AI for FinTech
- Explainable AI
- Reinforcement Learning
- Data Engineering
- Cloud AI Platforms
- MLOps
- AI Governance and Responsible AI
Key Responsibilities
Academic Leadership
- Deliver advanced courses at undergraduate, postgraduate, and doctoral levels.
- Lead curriculum development aligned with industry and societal needs.
- Mentor junior faculty members and contribute to academic excellence.
Research & Consultancy
- Lead funded research projects and consultancy assignments.
- Guide M.Tech./M.S. dissertations and Ph.D. scholars.
- Publish high-quality research in reputed journals and conferences.
- Facilitate patent filing, technology transfer, and innovation activities.
Departmental Administration
- Coordinate academic programmes and accreditation activities.
- Participate in institutional quality assurance initiatives.
- Support strategic planning and departmental growth.
Industry Engagement
- Establish collaborations with industry, research laboratories, and startups.
- Promote experiential learning, internships, and industry-sponsored projects.
JOB DESCRIPTION
Designation: Professor
Department: Artificial Intelligence & Machine Learning (AI & ML)
Essential Qualifications (AICTE Norms)
- B.E./B.Tech. and M.E./M.Tech. with First Class or equivalent in the relevant discipline.
- Ph.D. in Artificial Intelligence & Machine Learning, Computer Science & Engineering, Data Science, Information Technology, or related disciplines.
- Minimum 10 years of experience in teaching, research, industry, or a combination thereof, of which at least 5 years shall be at the level of Associate Professor or equivalent.
- Demonstrated record of excellence in research, innovation, academic leadership, funded projects, consultancy, patents, and doctoral supervision.
Preferred Expertise
- Artificial General Intelligence (AGI) Research
- Generative AI and Foundation Models
- Large Language Models
- Autonomous Systems
- Deep Learning Architectures
- AI for Smart Cities
- AI for Healthcare
- Explainable and Trustworthy AI
- AI Governance and Policy
- Edge AI and Intelligent Systems
- Advanced Analytics and Decision Intelligence
Key Responsibilities
Strategic Academic Leadership
- Provide vision and leadership for the AI & ML programme.
- Lead curriculum innovation and programme expansion initiatives.
- Drive excellence in teaching, learning, and student outcomes.
Research Leadership
- Lead high-impact interdisciplinary research programmes.
- Secure external funding from government, industry, and international agencies.
- Supervise doctoral scholars and postdoctoral researchers.
- Promote patents, startups, technology transfer, and commercialization.
Institutional Governance
- Lead accreditation, ranking, quality assurance, and regulatory compliance initiatives.
- Contribute to institutional policy formulation and strategic planning.
- Chair academic and administrative committees as required.
Industry & Global Engagement
- Build partnerships with leading industries, research centres, and international universities.
- Promote innovation ecosystems, incubation, entrepreneurship, and societal impact projects.
- Represent the institution in national and international academic forums.
Skills Required
- Teaching Excellence
- Research and Innovation
- Academic Leadership
- Industry Collaboration
- Project Management
- Curriculum Design
- Mentoring and Student Development
- Outcome-Based Education (OBE)
- Accreditation and Quality Assurance