Asssistant Professor Artificial Intelligence & Data Science

• 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 Masters 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.