IIT Guwahati Senior Research Fellow Recruitment 2026 – Apply Online

IIT Guwahati Senior Research Fellow Recruitment 2026 – Overview

The Indian Institute of Technology Guwahati (IIT Guwahati) is a premier institute recognized for its commitment to excellence in education and research. It plays a crucial role in advancing technology and scientific knowledge in India. The announcement for the Senior Research Fellow (SRF) recruitment for the year 2026 marks an important opportunity for qualified candidates to engage in cutting-edge research and contribute to the academic community.

This recruitment drive offers a unique chance for candidates with a strong background in basic sciences or professional courses to apply their skills in a research environment. The position not only provides an opportunity to work on innovative projects but also helps in building a robust career in academia or industry.

The recruitment process is designed to ensure that the most qualified candidates are selected based on their academic credentials and research experience. The detailed notification can be found on the official website of IIT Guwahati, which serves as a comprehensive resource for interested applicants.

Key Details of IIT Guwahati SRF Recruitment 2026

Candidates interested in this position should ensure they meet the eligibility criteria and prepare their applications accordingly. The selection will be based on the candidates’ qualifications and experience, with a focus on their research skills in deep learning for computer vision.

Important Dates for IIT Guwahati SRF Recruitment 2026

Understanding the important dates is crucial for candidates looking to apply for the SRF position. Here are the key dates to remember:

Candidates should ensure that they submit their applications online before the last date and prepare for the interview by reviewing their research experience and knowledge in the relevant field.

Selection Process for IIT Guwahati SRF Recruitment 2026

The selection process for the Senior Research Fellow position at IIT Guwahati is designed to identify candidates with the necessary qualifications and experience. The process primarily involves:

• Online Interview: Candidates will be assessed based on their academic qualifications and research expertise during the interview.
• Research Experience: The selection committee will evaluate the candidate’s experience in deep learning algorithms for computer vision, which is crucial for this role.
• Document Verification: Candidates must provide necessary documents to validate their eligibility and qualifications.

Candidates are encouraged to prepare thoroughly for the interview by familiarizing themselves with current trends in deep learning and computer vision applications. A strong performance in the interview will significantly enhance their chances of securing the position.

How to Apply for IIT Guwahati SRF Recruitment 2026

Applying for the Senior Research Fellow position is a straightforward process, but candidates must follow the steps carefully to ensure their application is submitted correctly:

• Visit the official website of IIT Guwahati to access the application portal.
• Fill out the online application form with accurate personal, educational, and contact details.
• Upload all required documents, including your photograph, signature, and relevant certificates.
• Pay the application fee online, if applicable.
• Review all information carefully before submitting the application.
• After submission, print or save a copy of your application for future reference.

Candidates should ensure that they adhere to the submission deadline of 05 August 2026 to be considered for the position. It is advisable to start the application process early to avoid last-minute issues.

Important Links for IIT Guwahati SRF Recruitment 2026

For candidates looking to apply and gather more information, here are some important links:

These links will direct candidates to the necessary resources for completing their applications and understanding the recruitment process more thoroughly.