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Sardar Vallabhbhai National Institute of Technology, Surat
Jul. 13, 2026

Junior Research Fellow

Vacancies
1 Vacancy
Pay Scale
From ₹37K / mo
Age Limit
As per ANRF/Government of India norms
Job Location

Important Dates

Published

Jul. 2, 2026

2

Starts

Jul. 2, 2026

3

Deadline

Jul. 30, 2026

4

Exam Date

TBA

Job Analysis

AI-generated insights

Best-Fit Profile

Ideal for engineering graduates (B.E./B.Tech) or postgraduates (M.E./M.Tech./MS) in Computer Science, IT, AI, Data Science, or ECE, who possess a valid GATE/NET qualification and strong programming skills in Python. Candidates with experience in Machine Learning, Deep Learning, NLP, Large Language Models (LLMs), and multilingual/Indic language processing are highly preferred. This role offers an excellent opportunity to pursue a Ph.D. within a sponsored research project, focusing on cutting-edge fact-verification technology.

Important Considerations

Individuals seeking a permanent government position or those without the specified engineering/research qualifications (B.E./B.Tech. or M.E./M.Tech./MS) or GATE/NET are not suitable. Candidates lacking strong programming skills, particularly in Python, or those uninterested in temporary project-based research in AI/NLP for Indic languages should not apply.

Career Impact

Working as a Junior Research Fellow at SVNIT Surat, a National Institute of Technology, provides a reputable academic and research environment. This temporary position under a sponsored project offers significant exposure to advanced AI/NLP research, particularly in large language models. The provision for conversion to Ph.D. under Institute norms offers a clear long-term academic pathway, enhancing career prospects in research and academia.

Note: This is a helpful, AI-generated overview designed to save you time. Always refer to the official PDF notification for complete and final details.

About Sardar Vallabhbhai National Institute of Technology, Surat

Sardar Vallabhbhai National Institute of Technology (SVNIT) is a premier institution located in Surat, Gujarat, dedicated to excellence in engineering and technology education and research. As a National Institute of Technology, it plays a vital role in contributing to technological advancements and national development.

Job Posts

Junior Research Fellow

Eligibility Criteria

Educational Qualification

  • Essential Qualifications:
    • B.E./B.Tech. and/or M.E./M.Tech./MS (Research) in Computer Science & Engineering, Information Technology, Artificial Intelligence, Data Science, Electronics & Communication Engineering, or related disciplines.
    • Minimum 60% marks or 6.5 CGPA.
    • GATE/NET or equivalent examination qualification.
  • Desirable Skills:
    • Strong programming skills in Python.
    • Knowledge of Machine Learning, Deep Learning, and Natural Language Processing (NLP).
    • Experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Information Retrieval, and Question Answering systems.
    • Familiarity with PyTorch, HuggingFace Transformers, LangChain, FAISS, or similar frameworks.
    • Experience in multilingual/Indic language processing will be preferred.

Age Limit Details

Age limit is as per ANRF/Government of India norms. Relaxation in the upper age limit will be applicable for SC/ST/OBC/PwD/Women candidates as per Government of India rules.

Check Your Age Eligibility

Salary & Pay Scale

  • Fellowship: ₹37,000/- per month.
  • Additionally, candidates will receive HRA as per ANRF/GoI norms.
  • Provision for conversion of JRF to Ph.D. as per Institute norms.

How to Apply

  • Candidates must send their updated CV (in PDF format) and application in the prescribed format (PDF including certificates) via email.
  • The email subject line must be: "Application for JRF – SAKSHYA Project".
  • Send applications to: [email protected].
  • File names for attachments should be: 1. CV_firstname_lastname.pdf, 2. APPLICATION_firstname_lastname.pdf.
  • Shortlisted candidates will be notified of the interview date and time via email.

Official Links

Visit Official Website

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