IITGN Senior Research Fellow Recruitment 2026 Overview
IITGN Senior Research Fellow Recruitment 2026 Overview
| Company Name | Post Name | No of Posts | Salary | Qualification | Age Limit | Last Date |
|---|---|---|---|---|---|---|
| Indian Institute of Technology Gandhinagar (IITGN) | Senior Research Fellow | 1 | Consolidated 42,000/- per month + (HRA) based on qualifications and experience. | MTech./M.S/M.Sc. in Computer Science and Engineering or equivalent degree in a closely related discipline with a minimum of 60% marks or 7.0 CGPA (on a 10-point scale) | 50 years | 15 February 2026 |
Vacancy Details
| Post Name | No of Posts |
|---|---|
| Senior Research Fellow (SRF) | 1 |
Eligibility Criteria
- Qualification: MTech./M.S/M.Sc. in Computer Science and Engineering or equivalent degree in a closely related discipline with a minimum of 60% marks or 7.0 CGPA (on a 10-point scale)
- Essential Qualification: National Eligibility Tests – CSIR-UGC NET including Lectureship (Assistant Professorship) or GATE
- Experience: Minimum two years of research experience after obtaining the qualifying degree, as per the institute norms
- Desirable Qualification: Exposure to methodologies for dataset validation, error analysis, and annotation quality assessment
- Desirable Qualification: Ability to design reproducible experiments, perform error analysis, and report results with proper metrics
- Desirable Qualification: Prior experience in Python platforms such as NLTK, Anaconda, and Jupyter/Python notebooks along with basic versioning system (Git & Github) knowledge
- Desirable Qualification: Familiarity with web development technologies, including HTML, CSS, Bootstrap, and jQuery, along with backend and deployment technologies such as Flask, Nginx, MongoDB, SQL, ElasticSearch, or similar frameworks
- Desirable Qualification: Demonstrated ability to write efficient, clean, and well-documented Python code
- Desirable Qualification: Experience with deep learning frameworks such as PyTorch or TensorFlow
- Desirable Qualification: Experience in the implementation of at least one ML/NLP-based project, preferably involving real-world datasets
- Desirable Qualification: Experience in conducting research and publishing papers in peer-reviewed conferences and/or journals
- Desirable Qualification: Ability to read, understand, and implement research ideas from academic literature, and to conduct systematic experiments and analysis
- Desirable Qualification: Good communication skills and the ability to work independently as well as collaboratively in a research-oriented environment
Salary/Stipend
- SRF: Consolidated 42,000/- per month + (HRA) based on qualifications and experience.
Age Limit
- Upper Age Limit: 50 years
Important Dates
| Event | Date |
|---|---|
| Application Last Date | 15 February 2026 |
How to Apply
- Complete the online application: Click here
IIT Gandhinagar Senior Research FellowImportant Links
| Link | Details |
|---|---|
| Apply Online | Click to Apply Online |
| Official Notification PDF | Click to Download Official Notification |
| Official Website | Click to visit Official Website |
Frequently Asked Questions (FAQs)
Q1. What is the qualification required for IITGN Senior Research Fellow Recruitment 2026?
The candidate must have MTech./M.S/M.Sc. in Computer Science and Engineering or equivalent with minimum 60% marks or 7.0 CGPA, and qualified CSIR-UGC NET or GATE, plus two years research experience.
Q2. What is the last date to apply for IITGN SRF position?
The last date to submit the online application is 15 February 2026. Interviews will be conducted online for shortlisted candidates.
Q3. What is the salary for the Senior Research Fellow at IITGN?
The remuneration is a consolidated 42,000/- per month plus HRA, based on qualifications and experience.
Q4. What is the age limit for the SRF position in the ANRF Project?
The upper age limit for the Senior Research Fellow position is 50 years.
Q5. What is the duration of the SRF position at IIT Gandhinagar?
The position is initially for 12 months, extendable based on satisfactory performance and availability of funds.