Professor – Computer Science & Artificial Intelligence

Computer Science and Artificial Intelligence

Key Responsibilities:

Teaching & Mentorship

• Deliver undergraduate and postgraduate courses in Computer Science, Artificial Intelligence, and related domains such as Machine Learning, Deep Learning, NLP, Computer Vision, Robotics, and Data Science.
• Develop and revise curriculum in line with the latest industry trends and academic advancements.
• Guide students in projects, hackathons, capstone work, and entrepreneurial ventures.
• Foster a student-centered learning environment that emphasizes critical thinking and innovation.

Research & Publications

• Conduct advanced research in AI and allied areas with a focus on real-world applications.
• Publish regularly in top-tier peer-reviewed journals (IEEE, ACM, Scopus, ABDC, etc.).
• Apply for funded research projects, patents, and collaborative industry grants.
• Mentor junior faculty and research scholars in building strong research pipelines.

Academic Leadership

• Contribute to the university’s strategic goals through curriculum development, accreditation processes, and academic policy formation.
• Participate in conferences, symposiums, and thought leadership forums representing Woxsen.
• Serve on academic committees and contribute to interdisciplinary collaborations across schools.

Industry & Innovation Engagement

• Build partnerships with AI-focused companies, R&D centers, and tech startups for live projects, internships, and placements.
• Facilitate industry certifications, professional workshops, and guest lectures for student and faculty enrichment.
• Develop AI labs, research clusters, and centers of excellence on campus.

Qualifications & Experience:

• Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or a related discipline

  from a recognized institution.
• Minimum

  5–10 years of teaching and/or industry experience

  in advanced computer science and AI domains.
• Strong research track record with publications in reputed journals/conferences.
• Proficiency in programming languages such as Python, Java, C++, and frameworks like TensorFlow, PyTorch, OpenCV, etc.
• Experience with cloud platforms (AWS, GCP, Azure) and edge AI tools is desirable.
• Prior curriculum design, academic leadership, or experience with accreditation bodies (NBA/NAAC/ABET) will be an advantage.