TopFaculty
Full-timeDate Posted: 28 May 2026

Associate Professor — Artificial Intelligence & Machine Learning

Chennai Institute of TechnologyChennai, Tamil NaduLast date: 4 Jun 2026
Job Title / Designation
Associate Professor
Vacancy Available in Departments
  • Artificial Intelligence & Machine Learning
Required Qualifications

Bachelor's and Master's degrees in Engineering are mandatory and PhD in relevant discipline

Experience

Minimum 8 years of teaching and research experience with renowned institutions as an Assistant Professor in higher learning

Candidate Profile

  • Should have a minimum of seven research papers published in well-known journals

Responsibilities

  • Deliver academic lectures and engage in teaching activities
  • Conduct scientific research and publish scholarly work
Salary Details
Competitive salaries commensurate with qualifications and experience. Higher pay for research grants and quality publications.
Job Location
Chennai, Tamil Nadu
Apply Mode
Multiple modes
Last Date to Apply
4 Jun 2026

How to Apply

Candidates who meet the eligibility criteria can submit their applications by completing the online Google Form or by sending their updated CV to the specified email addresses.

Contact Number
+91 98844 51167, +91 82203 97963

Benefits of Joining Chennai Institute of Technology

  • Competitive compensation packages based on credentials and background
  • Additional financial rewards for securing research grants and publishing papers
  • Institutional support for patent registration
  • Access to over thirty specialized Centers of Excellence for research activities
  • Provision of transport services and on-campus hostel housing

About this opening

Chennai Institute of Technology is looking for an Associate Professor in Artificial Intelligence & Machine Learning to contribute to teaching and research excellence.

Disclaimer: Listings are published for informational purposes. Candidates are advised to verify all details directly from the institution before applying. TopFaculty is not responsible for changes, errors, or recruitment decisions made by the organization.