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Associate Professor (Computer Science & Emerging Technologies)

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Onsite

Associate Professor (Computer Science & Emerging Technologies)

Saraswati Education Society

Associate Professor (Computer Science & Emerging Technologies)

Skills

Data ScienceData AnalysisMachine LearningAI

10 days ago

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Important information


Contract type:

Permanent

Location:

Mumbai, Maharashtra, India

Work mode:

Onsite

Published on:

12 October 2026

What they need


Job Description: Associate Professor Computer Science & Emerging Technologies

Location: Navi Mumbai, India
Department: Computer Science / Information Technology / Artificial Intelligence / Data Science
Position Type: Full-Time
Experience Required: 0 – 7 Years

Job Summary

We are seeking a dynamic, research-oriented, and dedicated Associate Professor to join our progressive faculty team in Navi Mumbai. The ideal candidate will be responsible for delivering high-quality education, mentoring students, driving academic excellence, and contributing to institutional research in the fields of Computer Science, IT, AI, and Data Science.As a mandatory prerequisite, the candidate must possess a Ph.D. alongside a strong foundation in core computer applications.

Key Responsibilities

  • Academic Leadership: Deliver engaging, comprehensive lectures across undergraduate and postgraduate programs (including BCA and MCA courses).
  • Curriculum Development: Design, review, and modernize course syllabi to align with industry advancements in AI, Machine Learning, Data Analytics, and Information Technology.
  • Research & Innovation: Conduct independent research, publish original papers in indexed, peer-reviewed international journals (such as Scopus or UGC-CARE), and apply for research grants.
  • Student Mentorship: Guide students through practical laboratory work, academic projects, research theses, and provide career counseling.
  • Institutional Governance: Actively participate in departmental administrative tasks, internal examinations, NAAC/NBA accreditation documentations, and university committees.
  • Industry Collaboration: Help bridge the gap between academia and industry by organizing workshops, guest lectures, hackathons, and placement assistance programs.

Eligibility & Qualifications

  • Education (Mandatory): Ph.D. in Computer Science / Information Technology / Data Science / Artificial Intelligence or a highly related specialization is a strict requirement.
  • Academic Background: BCA / MCA degree path or an equivalent rigorous educational foundation from a recognized Computer Science background.
  • Experience: 0 to 7 years of teaching, research, or industry experience. Highly motivated fresh Ph.D. graduates with strong technical acumen are welcome to apply.

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