Junior Research Fellow (JRF)

Introduction

The National Institute of Technology (NIT) Silchar, a prestigious institute of national importance located in the beautiful state of Assam, has announced a significant recruitment opportunity for research-oriented professionals. The institute is inviting applications for the position of Junior Research Fellow (JRF) under a specialized three-year research project titled "ALZ-RiskNet." This specific project aims to leverage cutting-edge technology in the medical field, specifically focusing on the prediction of Alzheimer's Disease using advanced Deep Learning models. This initiative represents a critical intersection between Artificial Intelligence and healthcare, making it an exceptional opportunity for researchers who are passionate about applying Machine Learning (ML) techniques to solve real-world neurological challenges.

The role of a Junior Research Fellow at NIT Silchar is not just a job; it is a gateway into the world of high-level academic research and innovation. Candidates selected for this position will work under the guidance of esteemed faculty members, contributing to a project that has the potential to impact clinical diagnostics significantly. The recruitment targets candidates with a strong technical foundation in Electronics and Communication Engineering (ECE), Computer Science and Engineering (CSE), Electrical Engineering (EE), or Electronics and Instrumentation (E&I). Because the project focuses on "ALZ-RiskNet," the institute is specifically looking for individuals who possess a deep understanding of neural networks, data processing, and computational modeling. This recruitment is designed to attract high-caliber candidates who can contribute to the technological advancement of medical diagnostics in India.

For aspirants seeking a career in academia or research and development (R&D) in the tech sector, this position offers an unparalleled platform. Working at an NIT provides exposure to state-of-the-art laboratory facilities, high-quality academic environments, and a collaborative atmosphere that fosters innovation. The project duration is three years, providing enough time for the researcher to delve deep into the complexities of Alzheimer's disease data and refine their expertise in Deep Learning architectures. If you are an ambitious post-graduate looking to make your mark in the field of AI-driven healthcare, this JRF position at NIT Silchar is one of the most promising opportunities currently available in the eastern region of India.

Highlights / Quick Overview

Application Fee

| Free (No fee required) | | Last Date to Apply | 10/07/2026 | | Location | Assam, India | | Official Website | nits.ac.in |

Post-wise Vacancy Details

The recruitment is specific to a research project and offers the following vacancy distribution:

Eligibility Criteria

To ensure that only the most qualified and capable candidates are selected for this high-impact research project, NIT Silchar has defined specific eligibility benchmarks. Candidates must meet the following requirements:

Educational Qualification

• Primary Degree: Candidates must possess a minimum of a Master of Technology (M.Tech.) or Master of Engineering (M.E.) degree.
• Relevant Fields: The degrees should be in Electronics and Communication Engineering (ECE), Computer Science and Engineering (CSE), Electrical Engineering (EE), or Electronics & Instrumentation (E&I).
• Mandatory Certification: A valid GATE Score/Rank in the respective relevant fields is mandatory for eligibility.

Experience and Skills

• Domain Knowledge: Preference will be given to candidates with a strong grasp of Machine Learning (ML) and Deep Learning (DL).
• Research Interest: A demonstrated interest in healthcare technology or medical imaging analysis is highly desirable.
• Technical Proficiency: Familiarity with programming languages like Python, as well as frameworks like TensorFlow or PyTorch, will be viewed favorably during the selection process.

Age Limit

• The maximum age limit for applicants is 35 years as of the closing date of the application (10/07/2026).

Nationality

• The post is open to Indian Nationals.

Important Dates

Application Fee

The application process for this specific research project is free of cost. There are no fees involved for any category.

Selection Process

The selection process for the Junior Research Fellow (JRF) position is designed to filter candidates based on both their academic credentials and their practical knowledge of the project's core technologies.

1. Screening: The first phase involves a thorough screening of submitted applications. The committee will verify the candidate's M.Tech/M.E. degrees, GATE scores, and relevant experience in Machine Learning and Deep Learning.
2. Technical Evaluation: Candidates who pass the initial screening will be shortlisted for an interview.
3. Interview: The final selection will be based on a personal interview. During this stage, candidates may be asked to discuss their previous projects, their understanding of Alzheimer's disease research, and their proficiency in deep learning frameworks.

Salary / Pay Scale

The selected candidate will receive a stipend as per the norms for Junior Research Fellows in government-funded projects.

• Monthly Stipend: INR 37,000/-
• H.R.A (House Rent Allowance): 10% extra over and above the basic monthly stipend.
• Total Monthly Compensation: Approximately INR 40,700/- (subject to actual HRA calculations based on local norms).

How to Apply Step by Step

Interested candidates must follow the procedure outlined below to submit their applications for the JRF position at NIT Silchar:

1. Prepare Documents: Gather all necessary documents including your M.Tech/M.E. degree certificate, GATE scorecard, and identity proof (Aadhar/PAN).
2. Update Resume: Create a professional CV that highlights your experience in Machine Learning and Deep Learning specifically. Mention any relevant projects or publications.
3. Self-Attestation: Ensure all submitted documents are self-attested before scanning them for the application.
4. Draft Cover Letter: Prepare a brief cover letter expressing your interest in the "ALZ-RiskNet" project and why you are suitable for this role.
5. Prepare Application Form: Fill out the official application form (if provided in the notification) or prepare a comprehensive application email.
6. Offline/Online Submission: You can submit your documents to Dr. Tripti Goel at NIT Silchar.
7. Email Submission: Alternatively, you can send your complete set of documents (CV + Application Form + Self-attested certificates) via email to triptigoel@ece.nits.ac.in.
8. Follow Up: After sending the email, wait for a confirmation of receipt or a notification regarding the screening results from the department.

Frequently Asked Questions (FAQs)

1. What is the main objective of the "ALZ-RiskNet" project?
The project focuses on using Deep Learning models to predict and diagnose Alzheimer's Disease, which is a progressive brain disorder.

2. Is there an age limit for the JRF position at NIT Silchar?
Yes, the maximum age limit for candidates applying for this role is 35 years as of the closing date of the application.

3. Do I need a GATE score to apply?
Yes, a valid GATE score in ECE, CSE, EE, or E&I is a mandatory requirement for eligibility.

4. What is the duration of the JRF contract?
The research project and the corresponding JRF position are for a period of 3 years.

5. Is there any application fee to apply for this post?
No, the application process is completely free for all candidates.

6. Can I apply if I have only a B.Tech degree?
No, the eligibility criteria strictly require a minimum of an M.Tech or M.E degree.

7. What is the monthly salary for the selected candidate?
The stipend is INR 37,000 per month plus a 10% House Rent Allowance (HRA).

8. Can I apply from outside the state of Assam?
Yes, candidates from all over India can apply for this position, provided they meet the educational and age criteria.

9. What are the specific engineering branches eligible for this role?
The eligible branches are ECE (Electronics and Communication), CSE (Computer Science), EE (Electrical), and E&I (Electronics & Instrumentation).

10. How can I contact the selection committee for more details?
You can reach out to Dr. Tripti Goel at NIT Silchar or via the official email address provided: triptigoel@ece.nits.ac.in.

Conclusion

The Junior Research Fellow (JRF) position at National Institute of Technology (NIT) Silchar represents a premier opportunity for post-graduate students in the fields of Electronics, Electrical Engineering, and Computer Science. By participating in the "ALZ-RiskNet" project, researchers will be at the forefront of medical innovation, using Deep Learning to tackle one of the most challenging neurological diseases of our time. The combination of a prestigious institution, a high-value research topic, and a competitive stipend makes this an ideal career move for those looking to establish themselves in the academic or R&D sectors.

Candidates are encouraged to prepare their applications well in advance, ensuring that all documents like GATE scores and M.Tech certifications are clearly presented. With no application fee and a clear selection process involving screening and interviews, this is an accessible yet highly competitive opportunity. If you possess the requisite skills in Machine Learning and a passion for medical research, do not hesitate to apply before the deadline of July 10, 2026. Stay updated with official notifications on the NIT Silchar website and prepare thoroughly for the technical interview stage to maximize your chances of success.