ABV-IIITM Gwalior JRF Recruitment 2026
Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior (ABV-IIITM Gwalior) - Department of Computer Science and Engineering
Vacancy
1
Salary
₹20,000 - ₹20,000
Job Type
contract
full time
Apply By
06 Jul 2026
About This Job
Apply for 1 JRF post at ABV-IIITM Gwalior. Master's/MSc/MCA/MS eligible. Stipend: Rs 20,000. Last date: 6 Jul 2026.
About This Job
ABV-IIITM Gwalior is hiring 1 Junior Research Fellow (JRF) in the Department of Computer Science and Engineering. If you have a relevant master's degree in engineering, technology, electronics, mechatronics, MSc, MCA, or MS, you can apply online through the Google Form. The last date to apply is 06 July 2026. The stipend is Rs. 20,000 per month on a consolidated basis.
Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior (ABV-IIITM Gwalior) JRF Recruitment 2026 - 1 Post
Atal Bihari Vajpayee Indian Institute of Information Technology and Management Gwalior (ABV-IIITM Gwalior) has released a JRF advertisement dated 15 June 2026 under an M.P. Council of Science & Technology sponsored research project. The project is connected with deep learning methods for pulmonary nodule detection and risk characterisation in early lung cancer screening. This is a temporary research position for candidates who want to work on AI/ML, medical imaging, computer vision, and healthcare technology.
The appointment is initially for one year. It may continue further till completion of the project, based on satisfactory performance reviewed every 6 months. The project team includes Prof. K. V. Arya as PI, with Dr. Sunil Kumar and Dr. Divya Gautam as Co-PIs.
Who Can Apply?
Essential Qualification
- Degree: You need a master's degree in engineering, technology, electronics, mechatronics, or an equivalent qualification recognised by the institute.
- Alternate eligible degrees: You can also apply with MSc, MCA, or MS in a relevant field or branch, with 10+2 mathematics.
- Marks: You need at least 60% marks or 6.5 CGPA on a 10-point scale in the qualifying degree.
- Preferred: Candidates with GATE/NET qualification will get preference.
Desirable Skills
- Image Processing and Computer Vision: Useful for medical image analysis and pulmonary nodule detection.
- Machine Learning and Deep Learning: Important for building and testing AI models.
- PyTorch and Python: The notice specifically mentions PyTorch and Python modules as preferred skills.
Project Fit
- Best fit: Candidates who have worked on AI/ML projects, medical imaging, CT scan analysis, or classification models should highlight that experience in the form.
- Useful tools: Mention hands-on work with Python, PyTorch, deep learning libraries, computer vision workflows, and data preprocessing if you have used them.
- Research fit: The project needs model development, testing, documentation, and regular progress reporting to the investigators.
- GATE/NET note: GATE or NET is preferred, but the notice also lists qualifying degree and marks conditions, so check the complete eligibility before applying.
Salary
- Stipend: Rs. 20,000 per month.
- Pay type: The amount is consolidated.
- Project basis: The role is temporary and governed by the funding agency and institute terms.
Application Fee
- All applicants: No application fee.
- Application mode: Online Google Form as given in the official notification.
Selection Process (No Written Exam)
Selection is through shortlisting and an offline or online interview. The interview date is not fixed in the notice; shortlisted candidates will be informed by email.
- Application Screening: The institute will review qualification, marks, relevant field, GATE/NET status, and project-fit skills.
- Shortlisting: If many applications are received, the committee may use higher criteria for shortlisting.
- Interview: Shortlisted candidates will attend the interview in offline or online mode.
- Document Verification: Keep original proof of education, marks, GATE/NET, skills, and identity ready when asked.
How to Apply
- Go to the ABV-IIITM Gwalior website at iiitm.ac.in or use the Google Form link given in the notification.
- Open the form for the Junior Research Fellow (JRF) project advertisement.
- Fill in your personal details, education details, marks, and research or technical skills.
- Mention relevant experience in image processing, computer vision, machine learning, deep learning, PyTorch, and Python if you have it.
- Submit the online form before 06 July 2026.
- Keep checking your email because only shortlisted candidates will get interview details by email.
What to Highlight in Your Application
- Academic record: Mention your qualifying degree, branch, marks or CGPA, and 10+2 mathematics details clearly.
- Research and project work: Add any project, dissertation, internship, or publication linked with AI/ML, medical imaging, computer vision, or healthcare analytics.
- Software skills: Mention hands-on work with Python, PyTorch, deep learning models, image preprocessing, classification, and model evaluation.
- Interview readiness: Be ready to explain how your background fits the pulmonary nodule detection and early lung cancer screening project.
Email update: The institute will contact only shortlisted candidates for interview details, so keep the email ID entered in the Google Form active, correct, and reachable.
Contact Details
- PI: Prof. K. V. Arya
- Emails: kvarya@iiitm.ac.in and snk@iiitm.ac.in
- Institute address: ABV-IIITM Gwalior, NH-10, Morena Link Road, Gwalior-474015, Madhya Pradesh
Important Dates
- Notification Date: 15 June 2026
- Application Start: 15 June 2026
- Last Date to Apply: 06 July 2026
- Interview Date: To be informed by email to shortlisted candidates
- Initial Appointment Period: 1 year
Responsibilities
- Work on deep learning models for pulmonary nodule detection and risk characterisation
- Prepare and test AI/ML modules using Python, PyTorch, and related tools
- Handle image processing and computer vision tasks linked to chest CT scan analysis
- Keep project records, experiment results, model outputs, and progress notes updated
- Assist the PI and Co-PIs with reports, reviews, presentations, and technical documentation
- Follow ABV-IIITM Gwalior and funding agency rules for project work and reporting
Eligibility Criteria
Minimum Qualification
Master's degree in engineering/technology/electronics/mechatronics or equivalent; or MSc/MCA/MS in relevant field/branch with 10+2 mathematics; minimum 60% marks or 6.5 CGPA
Preferred Qualification
GATE/NET qualification preferred. Image Processing, Computer Vision, Machine Learning, Deep Learning, PyTorch and Python experience preferred.
Required Skills
Image processing, computer vision, machine learning, deep learning, PyTorch, Python, research documentation
Salary & Compensation
Pay Scale
Stipend Rs. 20,000 per month consolidated
Allowances
Consolidated stipend; separate allowances are not mentioned in the notification.
Selection Process
- 1 Interview
- 2 Document Verification
Additional Requirements
Computer Knowledge Required
How to Apply
Application Mode: online
Click the "Apply Now" button to visit the official application portal.
Required Documents:
- Online application form details
- Qualifying degree certificates and marksheets
- 10+2 mathematics proof, where applicable
- GATE/NET certificate, if applicable
- Proof of image processing, computer vision, machine learning, deep learning, PyTorch or Python experience, if available
- Photo identity proof
- Updated CV or resume
Frequently Asked Questions
The last date to apply for ABV-IIITM Gwalior JRF Recruitment 2026 is 06 July 2026.
The JRF stipend is Rs. 20,000 per month on a consolidated basis.
You need a relevant master's degree or MSc/MCA/MS with 10+2 mathematics and at least 60% marks or 6.5 CGPA. GATE/NET is preferred.
You can apply online through the official Google Form link given in the notification before 06 July 2026.
Selection is through shortlisting and an offline or online interview. Only shortlisted candidates will receive interview details by email.
On This Page
Important Dates
Notification
15 Jun 2026
Application Start
15 Jun 2026
Last Date to Apply
06 Jul 2026
Job Locations
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