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ABV IIITM Gwalior Junior Research Fellow Recruitment 2026 – Apply Online

Updated 5 days left · Last date 21 Oct 2026

Atal Bihari Vajpayee Indian Institute of Information Technology & Management Gwalior (ABV IIITM Gwalior) has released the official notification for the post of Junior Research Fellow. The last date to apply online is 21 October 2026. Candidates can apply through the official website, iiitm.ac.in.

Atal Bihari Vajpayee Indian Institute – Quick Summary5 days left
Organisation
Atal Bihari Vajpayee Indian Institute of Information Technology & Man…
Post
Junior Research Fellow (JRF)
Total Posts
01
Salary
₹ 20,000 per month (Consolidated)
Apply Mode
Online
Location
Gwalior (Madhya Pradesh)
Last Date
21 Oct 2026
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ABV IIITM Gwalior Junior Research Fellow at a Glance

Particulars Details
Organisation Atal Bihari Vajpayee Indian Institute of Information Technology & Management Gwalior
Department Computer Science and Engineering
Project End-to-End Deep Learning Model for Pulmonary Nodule Detection and Risk Characterization in Early Lung Cancer Screening
Funding Agency M.P. Council of Science & Technology
Tenure Initially for one year, extendable till completion based on satisfactory performance reviewed every 06 months
Post Name Junior Research Fellow (JRF)
Vacancies 01
Pay ₹ 20,000 per month (Consolidated)
Job Location Gwalior (Madhya Pradesh)
Application Mode Online
Last Date 21 October 2026

Who Can Apply

Essential Qualifications: An applicant having a master’s degree in engineering/technology/electronics/mechatronics or any other equivalent qualification (MSc/MCA/MS in relevant field/branch and 10+2 with mathematics) recognized by the Institute with a minimum of 60% marks or CGPA of 6.5 on a 10-point scale in the qualifying degree. Applicant with qualified GATE/NET will be preferred.

Desirable Qualification: Applicant working Image Processing and Computer Vision, Machine Learning and Deep Learning, Pytorch and Python Module will be preferred.

Pay and Tenure

The selected Junior Research Fellow will receive a consolidated stipend of ₹ 20,000 per month. The appointment is purely temporary, governed by the terms and conditions of the funding agency and the Institute, and is initially for one year. It may be extended further till the completion of the project based on satisfactory performance on reviews conducted every 06 months.

How to Apply for ABV IIITM Gwalior Junior Research Fellow

  1. Visit the institute website at www.iiitm.ac.in.
  2. Fill out the online application form available via the Google Form link: https://forms.gle/vg5RZpEWnbmD7pAL8.
  3. Submit the application before the deadline of 21 October 2026.

Selection and Interview

Only shortlisted candidates will be informed by email about the interview date. In case of receiving many applications, the committee may put higher criteria for shortlisting. The interview for shortlisted applicants will be conducted in an offline or online mode at ABV-IIITM Gwalior.

Important Dates

Event Date
Date of Advertisement 09 October 2026
Application Deadline 21 October 2026
Date of Interview To be notified to shortlisted candidates via email

ABV IIITM Gwalior Junior Research Fellow Recruitment 2026 – FAQs

Q1. Is the Junior Research Fellow position permanent?

No, the appointment is purely temporary and is initially for one year, which may be extended further till the completion of the project based on satisfactory performance reviewed every 06 months.

Q2. Are there any age limit criteria specified for the JRF post?

No age limit is stated in the official notification.

Q3. How will candidates be shortlisted for the interview?

Only shortlisted candidates will be informed by email about the interview date. If many applications are received, the committee may apply higher shortlisting criteria.

Q4. Where will the interview take place?

The interview for shortlisted applicants will be conducted in an offline or online mode at ABV-IIITM Gwalior.

Q5. What are the preferred qualifications for this position?

Applicants with a qualified GATE/NET, as well as those working in Image Processing and Computer Vision, Machine Learning, Deep Learning, Pytorch, and Python Module, are preferred.

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