ABV-IIITM Gwalior JRF Opening in ANRF Sponsored AI-Driven 6G Network Research

Atal Bihari Vajpayee Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior, invites applications for the post of Junior Research Fellow (JRF) to work on an ANRF-sponsored research project titled “Developing Standardized RF Data Frameworks for AI-Powered 6G Networks.” This project focuses on creating AI-driven frameworks for next-generation 6G wireless communication networks, targeting applications in healthcare and industry. The JRF position offers a stipend along with an opportunity to enroll in a Ph.D. program at the institute.

Important Dates

• Advertisement Date: 11th June 2025
• Last Date to Apply: 25th July 2025
• The interview date will be shared through email with the candidates who are shortlisted.

Application Fees

• Not specified in the notification (usually no application fee for research fellowships, but confirm on official communication).

Age Limit

• Not specified explicitly in the notice, but generally as per institute norms (usually up to 28-30 years for JRF positions; check official guidelines or contact the institute for clarification).

Vacancy

• Post: Junior Research Fellow (JRF)
• Number of Positions: 1 (One)

Salary

• Stipend: ₹37,000 per month + House Rent Allowance (HRA) at 18%

Eligibility Criteria

• Essential Qualifications:
  • Postgraduate degree (M.E./M.Tech./M.S.) in Electronics & Communication, Computer Science, IT, Electrical Engineering, or related fields
  • OR Graduate degree (B.E./B.Tech.) in the above disciplines with a valid GATE score
  • OR Postgraduate degree in Basic Sciences (Physics, Electronics, Computer Science) with NET/GATE qualification
• Desirable:
  • Strong knowledge of wireless communication and AI/ML techniques
  • Proficiency in Python programming

Why Apply for this JRF Position?

• Cutting-Edge Research: Work on next-generation 6G communication networks, which are poised to revolutionize wireless connectivity globally.
• Interdisciplinary Exposure: The project blends RF engineering with AI/ML techniques, offering a rich multidisciplinary research environment.
• Career Advancement: The fellowship includes the option to enroll in a Ph.D. program, fostering academic and research career growth.
• Financial Support: The stipend and allowances are competitive for early-career researchers.
• Mentorship: Supervision under Dr. Amandeep Kaur, a respected figure in the field, provides invaluable learning and networking opportunities.

Essential Skills and Preparation Tips

1. Strong Technical Foundation

Candidates should refresh and strengthen their understanding of wireless communication principles, RF systems, and signal processing.

2. AI and Machine Learning

Knowledge of AI/ML concepts, including supervised and unsupervised learning, neural networks, and reinforcement learning, will be valuable.

3. Programming Skills

Python is extensively used in research for data processing and modeling. Candidates should practice Python programming and relevant libraries such as NumPy, pandas, scikit-learn, and TensorFlow/PyTorch.

4. Research Aptitude

Familiarity with scientific research methodology, literature surveys, and academic writing will help in the successful completion of the project and Ph.D. work.

How to Apply

• Prepare a detailed CV including academic qualifications, research experience, projects, and publications.
• Fill the attached Application Form (Annexure I).
• Only candidates who are shortlisted will be invited for an in-person interview at ABV-IIITM Gwalior.
• No travel or daily allowance (TA/DA) will be given for attending the interview.

Apply Now