Associate Professor

Saraswati Education Society; Mumbai; On-site; INR 1,200,000 - 1,800,000; Full time

Job summary

Saraswati Education Society’s Navi Mumbai campus invites an experienced academician to join as Associate Professor in Computer Science, Information Technology, AI, and Data Science. The role emphasizes academic leadership, research excellence, and delivering high-quality education to undergrad and postgrad students.

You will drive curriculum development, supervise doctoral work, foster industry collaborations, and lead accreditation efforts. A Ph.D.

Qualifications

• PhD in Computer Science, Information Technology, AI or Data Science is mandatory.
• BCA and MCA from a core CS background are required.
• Expertise in AI, ML, DL, cloud architecture, big data analytics, or cybersecurity.
• Strong leadership, communication, and public speaking skills.

Responsibilities

• Academic Leadership: Teach advanced modules and mentor junior faculty; lead curriculum development.
• Research & Innovation: Drive high-impact research and publish in indexed journals; pursue funded projects.
• Student Mentorship: Guide postgraduate/doctoral research and career development.
• Institutional Administration: Lead QA, accreditation procedures, and exam management.
• Industry Collaboration: Build partnerships for internships, guest lectures, and placements.

Skills

Leadership

Public speaking

Communication

Mentorship

Education

PhD in CS/IT/AI/DS

BCA & MCA in CS

Tools

Cloud Architecture

Big Data Analytics

Cybersecurity

Deep Learning

Job description

We are seeking an experienced academician and researcher to join our faculty as an Associate Professor in Navi Mumbai. The ideal candidate will provide academic leadership, drive research initiatives, and deliver high-quality education to students in Computer Science, Information Technology, Artificial Intelligence, and Data Science.

Role & responsibilities

• Academic Leadership: Teach advanced modules to undergraduate and postgraduate students (BCA/MCA/B.Tech), mentor junior faculty members, and lead curriculum development to align with current industry trends.
• Research & Innovation: Drive high-impact research initiatives, publish consistently in high-indexed journals (Scopus, Web of Science, UGC-CARE), and secure funded research projects or consultancies.
• Student Mentorship: Supervise postgraduate and doctoral research projects, guide students in technical innovations, and facilitate career development opportunities.
• Institutional Administration: Take a lead role in administrative functions, including internal quality assurance, accreditation procedures (NAAC, NBA, NIRF), and examination management.
• Industry Collaboration: Foster partnerships with IT industries to facilitate student internships, guest lectures, and campus placement drives.

Preferred candidate profile

• Education: A Ph.D. in Computer Science, Information Technology, AI, Data Science, or a relevant discipline is mandatory.
• Academic Background: A solid academic foundation with a BCA and MCA from a core Computer Science background.
• Technical Expertise: Mastery of advanced fields such as Artificial Intelligence, Machine Learning, Deep Learning, Cloud Architecture, Big Data Analytics, or Cybersecurity.
• Soft Skills: Strong leadership capabilities, excellent public speaking and communication skills, and a commitment to institutional growth.