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Full-timeDate Posted: 19 Jun 2026

Associate Professor — Computer Science Engineering (Artificial Intelligence / Machine Learning / Data Science / Cyber Security / Robotics)

Madanapalle Institute of Technology & ScienceMadanapalle, Andhra PradeshLast date: 31 Jul 2026

Organization Profile

Madanapalle Institute of Technology & Science - Deemed to be University is established in 1998 in the picturesque and pleasant environs of Madanapalle and is ideally located on the Madanapalle–Anantapur Highway. MITS Deemed to be University is poised for exponential growth invites applications from self-motivated, committed and competent academic leaders who can make a difference and add significant value to the University.

Job Title / Designation
Associate Professor
Vacancy Available in Departments
  • Computer Science Engineering
Specialization

Artificial Intelligence / Machine Learning / Data Science / Cyber Security / Robotics

Required Qualifications

Ph.D. in appropriate discipline from IIT / NIT / Foreign University. (with First class at B.Tech. & M.Tech.)

Experience

Minimum 7 Years of Post Ph.D. experience in Academics / Research / Industry

Salary Details
As per the revised AICTE Pay scale, upto Rs.30 LPA. Higher pay for deserving applicants.
Job Location
Madanapalle, Andhra Pradesh
Apply Mode
Apply by email
Last Date to Apply
31 Jul 2026
Organization Website
https://mits.ac.in/

How to Apply

Interested applicants may send their updated resumes to jobs@mits.ac.in. Applicants for the above mentioned positions must also meet the eligibility criteria as specified in the UGC guidelines.

Email Address to Apply
jobs@mits.ac.in
Organization Address

Madanapalle Institute of Technology & Science Deemed to be University Madanapalle-Kadiri Road NH-42, kurabalakota Mandal, Madanapalle-517325 Andhra Pradesh, India

Contact Number
9100080999
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.