ABV-IIITM Gwalior Research Assistant Intern Recruitment 2026 – Apply Online for IoT Project

ABV-IIITM Gwalior Research Assistant/Intern Recruitment 2026

Atal Bihari Vajpayee-Indian Institute of Information Technology & Management (ABV-IIITM), Gwalior, an Institute of National Importance under the Ministry of Education, Government of India, has announced a recruitment notification for the post of Research Assistant/Intern. This opportunity is for an industry-sponsored project titled "Intelligent IoT-Based Predictive Maintenance for Industrial Factory Operation," funded by Yacca Lifesciences Pvt. Ltd., Roorkee, Uttarakhand. The project is led by Dr. Pragya Swami, Assistant Professor, EEE, as the Principal Investigator.

Vacancy Details

The recruitment is for a single post of Research Assistant/Intern. The selected candidate will receive a stipend of Rs. 6,000 per month, inclusive of all deductions if any. The stipend is subject to monthly progress assessment, and the authority reserves the right to reduce, withhold, or terminate it based on performance.

Eligibility Criteria

Candidates who are either pursuing or have completed a B.Tech./UG in any area related to the project are eligible to apply. Desirable qualifications include hands-on experience in Python programming, IoT technologies, sensor interfacing, and microcontrollers such as Arduino or Raspberry Pi. Internship experience with research or sponsored projects will be preferred. The official notification does not specify an age limit or application fee.

Important Dates

The advertisement was dated 31 October 2026. The application deadline is 10 days from the advertisement date, which is approximately 10 November 2026. The interview date will be notified only to shortlisted candidates via email.

Selection Process

Applications will be shortlisted based on eligibility and desirable qualifications. Only shortlisted candidates will be informed by email about the next stage and the interview date. The selection process may include an interview to assess the candidate's suitability for the project.

Service Conditions

The position is initially for a period of six months. It may be renewed quarterly (every three months) based on monthly performance, availability of funds, and subject to the project's duration. The position can be terminated at any point in time. Hybrid work is permitted sometimes, though in-person work is preferred. The work may require travelling for data collection and field testing. Candidates will be required to provide progress details to the investigators on a regular basis.

How to Apply

Interested candidates must fill out the online application form available at the provided link. Ensure that all parts of the form are completed and all required documents are uploaded. Incomplete forms or missing documents will lead to rejection. Submit the form before the deadline. Shortlisted candidates will be contacted via email, so candidates should monitor their email regularly.

About the Project

The project aims to develop and implement an intelligent IoT-based predictive maintenance system for industrial factory operations. The selected candidate will be involved in IoT sensor integration for real-time monitoring of industrial equipment, data acquisition and processing, equipment condition monitoring and analysis of operational parameters, developing AI/ML-based models to identify abnormal operating conditions, detect potential equipment faults, and predict maintenance requirements, and testing and validating the developed system using industrial data.

Contact Information

For queries, candidates can email Dr. Pragya Swami at pswami@iiitm.ac.in. The place of work is ABV-IIITM, Gwalior, located at NH-10, Morena Link Road, Gwalior, Madhya Pradesh.

Why Apply?

This is an excellent opportunity for B.Tech students or graduates to gain hands-on research experience in a cutting-edge IoT and AI/ML project. The role offers exposure to real-world industrial applications and the chance to work under experienced faculty. While the stipend is modest, the experience and networking opportunities are invaluable for those looking to build a career in research and development.

Preparation Tips

Candidates should highlight their experience with Python, IoT, and microcontrollers in their application. A strong understanding of AI/ML concepts and prior project work in predictive maintenance or sensor data analysis will be advantageous. Prepare for the interview by reviewing fundamental concepts of IoT, machine learning, and industrial automation.