Indian Institute of Technology Gandhinagar (IIT Gandhinagar) — No of Posts
Job
Indian Institute of Technology Gandhinagar (IIT Gandhinagar) has released an official notification for the recruitment of 02 AI Research Scientist Posts. Interested and eligible candidates can apply Online through the official IIT Gandhinagar website. The last date to submit the application form is 10-11-2025. In this article, you’ll find the IIT Gandhinagar AI Research Scientist Posts recruitment details, including eligibility criteria, age limit, salary structure, selection process, application steps, and direct links to the official notification and Online application form.
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Company Name Indian Institute of Technology Gandhinagar (IIT Gandhinagar) Post Name AI Research Scientist No of Posts 02 Pay Matrix Rs.1,15,000 - 2,40,000 Qualification Graduate Start Date for Apply Online 27-10-2025 Last Date for Apply Online 10-11-2025 Official Website iitgn.ac.in
Post Name No of Posts AI Research Scientist 02
Graduation with an excellent academic record in engineering, computer science, appliedmathematics, or domain-relevant sciences. Strong background in machine learning, applied statistics, or computational modeling. Prior exposure to hydrological or climate models and experience in data-driven urbanresilience research will be an advantage.
Starting Date for Apply Online: 27-10-2025 Last Date for Apply Online: 10-11-2025
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1. What is the starting date to apply online for IIT Gandhinagar AI Research Scientist 2025?
Ans: Starting Date to apply online is 27-10-2025.
2. What is the last online apply date for IIT Gandhinagar AI Research Scientist 2025?
Ans: Last online apply date is 10-11-2025.
3. What is the Eligibility to apply for IIT Gandhinagar AI Research Scientist 2025?
Ans: Graduate
4. How many vacancies are being recruited by IIT Gandhinagar AI Research Scientist 2025?
Ans: Total 02 Vacancies.
Organization
Indian Institute of Technology Gandhinagar (IIT Gandhinagar)
Total No Of Vacancy
02
Posts
No of Posts
Qualification
Graduation with an excellent academic record in engineering, computer science, appliedmathematics, or domain-relevant sciences.
Strong background in machine learning, applied statistics, or computational modeling.
Prior exposure to hydrological or climate models and experience in data-driven urbanresilience research will be an advantage.