We are seeking a highly motivated and qualified Assistant Professor in Artificial Intelligence & Data Science to join our esteemed institution. The candidate will be responsible for delivering high-quality teaching, conducting cutting-edge research, and contributing to the academic and professional development of students.

Key Responsibilities:

Teaching & Curriculum Development:

• Develop and deliver undergraduate and postgraduate courses in Artificial Intelligence, Machine Learning, Deep Learning, Data Science, and related fields.
• Design and update course content to reflect the latest advancements in AI and Data Science.
• Guide students in project work, research activities, and internships.
• Utilize modern pedagogical techniques, including online and hybrid teaching methodologies.

Research & Publications:

• Conduct independent and collaborative research in AI, Machine Learning, Big Data Analytics, and related areas.
• Publish high-quality research papers in reputed journals and conferences.
• Apply for research grants and funding opportunities.
• Collaborate with industry and academic institutions for research and innovation.

Academic & Student Mentoring:

Guide students in capstone projects, thesis work, and research initiatives.

• Supervise Ph.D. and Master's students in their research.
• Organize workshops, seminars, hackathons, and industry collaborations

Requirements

Industry Collaboration & Grants:

• Develop partnerships with AI and Data Science industries for internships and research collaboration.
• Engage in consultancy projects and government-funded research programs.

Administrative Duties:

• Participate in faculty meetings, department planning, and accreditation processes.
• Support university initiatives, student recruitment, and academic advising.

Qualifications & Requirements:

Educational Qualification:

• Ph.D. in Artificial Intelligence, Data Science, Machine Learning, Computer Science, or a closely related field from a recognized university.
• Candidates with M.Tech/M.E. in AI, Data Science, Computer Science (with specialization in AI/ML), along with significant industry or research experience, may also be considered.

Experience:

• Prior teaching experience at a university/college level is preferred.
• Strong research background with publications in SCI/Scopus-indexed journals.
• Industry experience in AI, Machine Learning, or Data Science is an added advantage.

Skills & Competencies:

• Proficiency in programming languages such as Python, R, Java, or C++.
• Hands-on experience with AI frameworks like TensorFlow, PyTorch, Keras, and Scikit-learn.
• Expertise in Big Data technologies like Hadoop, Spark, and cloud computing (AWS, Azure, GCP).
• Strong communication, mentoring, and leadership skills.

Preferred Qualifications:

• Experience in AI-driven research projects, patents, or funded projects.
• Participation in international conferences and collaborations.

Compensation & Benefits:

• Competitive salary as per UGC/AICTE norms.
• Research funding and support for conferences, publications, and workshops.
• Professional development opportunities.