Job Description

This study focuses on using artificial intelligence to accurately determine the skeletal maturity of children from various ethnic backgrounds. It involves analyzing X-ray images to see how bones develop and grow over time. The goal is to create a digital tool that helps doctors identify growth disorders more precisely across diverse populations. This research is funded by the DBT.

1 Research Associate vacancy at Indian Institute of Science Education and Research Pune (IISER Pune) Overview
End Date
30 Apr 2026
Salary
Rs. 58,000/- + 27% HRA per month; Rs. 61,000/- + 27% HRA per month for candidates with 1 year of relevant research experience & knowledge of data science
Vacancies
1
Eligibility
  • Ph.D. in Engineering / Mathematics / Science or related fields.
  • Preference: strong background and research experience with at least one research publication in SCI journal; advanced knowledge of data science; experience with deep learning and computer vision.

Vacancy Details

Post NameResearch Associate
Vacancy1
Monthly SalaryRs. 58,000/- + 27% HRA per month; Rs. 61,000/- + 27% HRA per month for candidates with 1 year of relevant research experience & knowledge of data science
DurationUpto 30-01-2027

How to Apply

Interested candidates should submit their application in the prescribed format, converted to PDF, by email to bio_app@acads.iiserpune.ac.in on or before 2026-04-30. The subject line of the email must read: β€œResearch Associate‑I / II and Advt. No.22/2026.”

Application Fee

Nil (No fee is required to be paid)

Age Limit

maximum 35 years

Selection Process

Candidates will first be shortlisted on the basis of their academic qualifications, and those selected will be invited to attend an interview.

Organization

Name: Indian Institute of Science Education and Research Pune (IISER Pune)

This study focuses on using artificial intelligence to accurately determine the skeletal maturity of children from various ethnic backgrounds. It involves analyzing X-ray images to see how bones develop and grow over time. The goal is to create a digital tool that helps doctors identify growth disorders more precisely across diverse populations. This research is funded by the DBT.