Assistant Professor - MCA

Position:

Position Summary

• Conduct lectures, practical lab sessions, and tutorials for MCA students in both core and specialized subjects, such as

  Data Science, Cloud Computing, Database Management Systems (DBMS), Software Engineering, Data Structures, Algorithms, Computer Networks,

  and

  Programming Languages

  (e.g., Python, Java).
• Develop and update course syllabi, laboratory manuals, and teaching methodologies in line with AICTE guidelines and industry requirements.
• Set and evaluate question papers, assignments, and practical examinations, ensuring fair and rigorous assessment.
• Mentor and guide students on their academic progress, project work, and industry internships.

2. Research and Innovation

• Engage in high-quality research, resulting in publications in

  SCI/UGC-CARE/AICTE approved refereed journals

  .
• Guide MCA student dissertations and final year projects.
• Seek and execute research and consultancy projects with industry partners.
• Present research findings at national and international conferences.

3. Institutional & Professional Development

• Actively participate in administrative and institutional development activities, including admissions, examinations, curriculum review, and NBA/NAAC accreditation processes.
• Liaise with the IT industry to arrange guest lectures, expert talks, and industrial training for students.
• Mandatory requirement to undergo

  AICTE-prescribed Faculty Development Programs (FDPs)

  , including MOOCs in SWAYAM, preferably within the first year of service.

Eligibility Criteria (As per AICTE Regulations for MCA)

Option 2 (B.Tech + MCA):

Option 3 (Traditional Stream): Graduation of three years' duration

• Note:

  First Class

  or equivalent is mandatory in at least one of the qualifying degrees (Bachelor's or Master's). If a class/division is not awarded, a minimum of

  60% marks in aggregate

  shall be considered equivalent to First Class.

Highly Desirable Criteria

• Ph.D. Degree

  in Computer Applications, Computer Science, or an allied/relevant technical discipline.
• Candidates with Ph.D. acquired after the Bachelor's degree from an Institution of National Importance with a valid

  GATE/GPAT/CEED

  score shall be eligible.

• NET/SET

  qualification in Computer Science or IT (as per UGC norms) is advantageous.

Desirable Skills and Attributes

• Demonstrated expertise in

  Software Development Life Cycle (SDLC)

  and modern

  DevOps

  practices.
• Hands-on proficiency in current technologies such as

  Cloud Platforms (AWS/Azure/GCP), Big Data Tools (Hadoop/Spark), or specialized Data Science Libraries (TensorFlow/PyTorch)

  .
• Strong analytical, logical reasoning, and programming skills.
• Effective communication and pedagogical skills for teaching complex technical subjects.