Indian Institute of Technology Hyderabad — Department of Engineering
The Indian Institute of Technology Hyderabad has issued an official recruitment notification for Post-Doctoral Research Fellow, announcing a total of 1 vacancies located in All India. The closing date for submission of online application forms is 10 September 2026. To be eligible, applicants must hold Ph.D. in Artificial Intelligence/Generative AI with B.E./B.Tech in Chemical, Metallurgical, Mining, or Mechanical Engineering and 3 Scopus-indexed publications., with category relaxation applicable as per government guidelines. Selected candidates will receive an approved pay scale of ₹75,400 - ₹79,300 per month. The selection procedure comprises Shortlisting based on academic record and experience, followed by an interview.. For complete guidelines, syllabus breakdown, and official notification PDF, refer to the verified information below on ApplySarkariJob.
| Last Date to Apply |
10 Sep 2026
|
|---|
| Post Name | Post-Doctoral Research Fellow |
|---|---|
| Total Vacancies | 1 |
| Qualification | Ph.D. in Artificial Intelligence/Generative AI with B.E./B.Tech in Chemical, Metallurgical, Mining, or Mechanical Engineering and 3 Scopus-indexed publications. |
| Salary | ₹75,400 - ₹79,300 per month |
| Selection Process | Shortlisting based on academic record and experience, followed by an interview. |
The Indian Institute of Technology (IIT) Hyderabad has invited applications for the position of Post-Doctoral Research Fellow for a specific project focused on Coal Supply Chain Optimization using Artificial Intelligence. This position is purely contractual.
| Post Name | Total Vacancies |
|---|---|
| Post-Doctoral Research Fellow | 1 |
Candidates must ensure they meet the following mandatory academic and research criteria before applying:
Selected candidates will be offered a monthly consolidated emolument ranging from ₹75,400 to ₹79,300, which includes House Rent Allowance (HRA).
The selection will be based on a rigorous assessment of the applicant's academic background, relevant research experience, and a personal interview. Shortlisted candidates will be contacted directly for the interview process.
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