Indian Institute of Technology Guwahati has published a fresh Research Associate recruitment on 29 October 2026 for a project in the Department of Mathematics titled “Structural Data, Preserving Insights: Structure-Guided Kernelization for Feedback and Modification Problems in Graphs.” The opening is highly relevant to candidates working in theoretical computer science, graph algorithms, parameterized complexity and approximation algorithms. There is one Research Associate position with a recommended pay of ₹58,000 per month, ₹11,600 HRA and ₹1,250 medical allowance, taking the total monthly amount to ₹70,850. The initial appointment is for 11 months. Candidates need a Ph.D. in an area related to Theoretical Computer Science, while prior work on parameterized algorithms, approximation algorithms and graph algorithms is desirable. Applications must be submitted online through the IIT Guwahati R&D recruitment portal by 12 November 2026. Shortlisted candidates will be informed by email on 13 November, and the online interview is scheduled for 14 November 2026 at 10:00 AM. Selection will be based on interview performance. Candidates should use the exact project title on the IIT Guwahati recruitment portal and rely on the official advertisement for final eligibility and application instructions.
Recruitment Overview
| Particular | Details |
|---|---|
| Organisation | Indian Institute of Technology Guwahati |
| Department | Mathematics |
| Post | Research Associate |
| Project Code | 2627R-0460-MATH0855GKUM |
| Vacancies | 1 |
| Project | Structural Data, Preserving Insights: Structure-Guided Kernelization for Feedback and Modification Problems in Graphs |
| Pay | ₹58,000 + ₹11,600 HRA + ₹1,250 Medical |
| Total Monthly Amount | ₹70,850 |
| Appointment Duration | 11 months |
| Application Last Date | 12 November 2026 |
| Interview | 14 November 2026, 10:00 AM |
| Interview Mode | Online |
| Official Notice | IIT Guwahati Advertisement |
Eligibility / Educational Qualification
The basic qualification is a Ph.D. in an area related to Theoretical Computer Science.
Desirable Experience
Previous research work in parameterized algorithms, approximation algorithms and graph algorithms is desirable.
Salary
The position carries:
- Recommended Pay: ₹58,000/month
- HRA: ₹11,600/month
- Medical: ₹1,250/month
- Total Monthly Amount: ₹70,850
Selection Process
Shortlisted candidates will be informed by email on 13 November 2026. Selection will be based on performance in the online interview scheduled for 14 November 2026 at 10:00 AM.
Important Dates
| Event | Date |
|---|---|
| Publish Date | 29 October 2026 |
| Last Date to Apply | 12 November 2026 |
| Shortlist Intimation | 13 November 2026 |
| Online Interview | 14 November 2026, 10:00 AM |
How to Apply
- Open the official IIT Guwahati advertisement.
- Visit the IIT Guwahati R&D Recruitment Portal.
- Search for the project title exactly as given in the advertisement.
- Complete the online application with accurate education and research details.
- Highlight publications and work in graph algorithms, approximation algorithms or parameterized algorithms.
- Submit the application by 12 November 2026.
- Monitor your email for shortlisting and interview communication.
Before applying, review the Government Job Document Checklist and How to Apply for Government Jobs.
Important Links
| Link | Purpose |
|---|---|
| Official IIT Guwahati Advertisement | Detailed recruitment notice |
| IIT Guwahati Recruitment Listing | Official listing page |
| IIT Guwahati R&D Recruitment Portal | Online application |
| IIT Guwahati Official Website | Institute website |
FAQ
How many vacancies are available?
There is 1 Research Associate vacancy.
What is the total monthly amount?
₹70,850 including recommended pay, HRA and medical allowance.
What qualification is required?
A Ph.D. in an area related to Theoretical Computer Science.
What is the last date?
12 November 2026.
When is the interview?
14 November 2026 at 10:00 AM.
How will selection be conducted?
Selection will be based on performance in the online interview.