Assistant Professor ( CS/IS/AIML/CSE(DS))

• Deliver High-Quality Instruction:

  Conduct lectures, tutorials, and laboratory sessions for Engineering And MCA programs, ensuring a strong focus on practical, industry-relevant knowledge.

• Course & Curriculum Development:

  Design, develop, and update course materials, syllabi, and assessment tools in line with affiliating university/AICTE/UGC guidelines and the latest industry trends.

• Mentoring:

  Guide and mentor students in their academic studies, project work (minor/major), and career aspirations.

• Laboratory Management:

  Oversee the smooth functioning of assigned labs, ensuring equipment is maintained, and practical sessions are conducted effectively.

B. Research

• Conduct Research:

  Engage in original research in the field of Computer Science/IT and secure grants/funding for research projects.

• Publications:

  Publish research findings in reputed peer-reviewed journals (SCI/Scopus/UGC CARE) and present papers at national and international conferences.

• Ph.D. Guidance (Preferred):

  Guide and supervise research scholars for their Ph.D. programs, if qualified to do so as per institutional norms.

• Innovation:

  Focus on developing patents, copyrights, and promoting innovation and entrepreneurial activities among students.

C. Departmental and Institutional Service

• Administrative Duties:

  Participate actively in departmental administrative tasks, including examination duties, admission counseling, accreditation work (NBA/NAAC), and committee service.

• Industry-Academia Interface:

  Establish and maintain strong industry connections to facilitate internships, placements, and collaborative projects for students.

• Professional Development:

  Continuously upgrade knowledge and skills by attending Faculty Development Programs (FDPs), workshops, and seminars.

Essential Qualifications & Experience

• Core CS/IT:

  Data Structures & Algorithms, Operating Systems, Database Management Systems, Compiler Design.

• Emerging Technologies:

  Artificial Intelligence (AI), Machine Learning (ML), Data Science, Deep Learning.

• Software Engineering:

  Cloud Computing (AWS/Azure/GCP), Full Stack Development, DevOps, Software Architecture.

• Networking/Security:

  Computer Networks, Network Security, Cyber Security, Cryptography.

• Programming Languages:

  Proficiency in popular languages like Python, Java, C++, and R.

Key Competencies

• Exceptional

  verbal and written communication skills

  (English).
• Demonstrated ability to

  supervise and motivate students

  and research scholars.
• A proven track record of

  research publication

  and a strong commitment to academic excellence.
• Ability to work effectively in a

  team-oriented, diverse

  academic environment.
• Strong organizational and

  time management

  skills.