Atal Bihari Vajpayee Indian Institute of Information Technology and Management (ABV-IIITM), Gwalior has invited applications for a Research Assistant/Intern position in a newly advertised industry-sponsored project titled “Intelligent IoT-Based Predictive Maintenance for Industrial Factory Operation.” The official one-page advertisement is dated 31 October 2026 and was published on the institute’s recruitment page on 1 November 2026. The project is funded by Yacca Lifesciences Pvt. Ltd., Roorkee, and focuses on industrial IoT sensing, real-time equipment monitoring, data acquisition, AI/ML-based fault detection and predictive maintenance. Candidates who are pursuing or have completed a B.Tech./UG programme in a field related to the project can apply. Hands-on exposure to Python, IoT technologies, sensor interfacing, Arduino or Raspberry Pi is desirable. The monthly stipend is ₹6,000, subject to progress assessment. The initial engagement is for six months and may be renewed quarterly depending on performance, funding and project duration. Hybrid work may be permitted occasionally, although in-person participation is preferred. Applications must be submitted through the official Google Form within 10 days of the 31 October 2026 advertisement, which corresponds to 10 November 2026.
Recruitment Overview
| Particular | Details |
|---|---|
| Organisation | ABV-IIITM Gwalior |
| Project | Intelligent IoT-Based Predictive Maintenance for Industrial Factory Operation |
| Project type | Industry-sponsored |
| Funding organisation | Yacca Lifesciences Pvt. Ltd., Roorkee |
| Position | Research Assistant/Intern |
| Advertisement date | 31 October 2026 |
| Institute publication | 1 November 2026 |
| Initial tenure | 6 months |
| Renewal | Quarterly, subject to performance/funds/project duration |
| Stipend | ₹6,000 per month |
| Work mode | In-person preferred; limited hybrid work may be permitted |
| Application mode | Online Google Form |
| Application deadline | Within 10 days of 31 October 2026 |
| Derived calendar deadline | 10 November 2026 |
| Location | Gwalior, Madhya Pradesh |
About the Project
The selected Research Assistant/Intern will work on an intelligent predictive-maintenance system for industrial factory operations.
The project covers:
- IoT sensor integration for real-time monitoring of industrial equipment;
- data acquisition and processing;
- equipment-condition monitoring;
- analysis of operational parameters;
- development of AI/ML models for abnormal-condition detection;
- equipment-fault identification;
- maintenance prediction; and
- testing and validation using industrial data.
This is therefore best suited to candidates interested in industrial AI, IoT, predictive analytics, embedded systems and applied machine learning.
Basic Qualification
Candidates should be:
- pursuing B.Tech./UG, or
- have completed B.Tech./UG,
in a field related to the project.
The advertisement does not prescribe one fixed branch list, so applicants should judge relevance based on the project’s IoT, AI/ML, electronics, computing, sensor and industrial-data requirements.
Desirable Skills
The institute specifically prefers candidates with hands-on exposure to:
- Python programming;
- IoT technologies;
- sensor interfacing;
- Arduino;
- Raspberry Pi;
- research or sponsored-project internships.
Candidates may also be required to travel for data collection and field testing.
Stipend
The stipend is ₹6,000 per month, including any deductions.
Payment is subject to monthly progress assessment. The authority reserves the right to reduce, withhold or terminate the stipend if progress is not satisfactory.
Tenure
The position is initially for six months.
It may be renewed quarterly — every three months — subject to:
- monthly performance;
- availability of project funds; and
- the remaining duration of the project.
The engagement can also be terminated before completion under the conditions stated in the official notice.
Application Fee
The official advertisement does not state any application fee.
No fee amount should be assumed unless ABV-IIITM issues a later official instruction.
Selection Process
There is no written-test pattern in the advertisement.
The process is:
- Online application through the official Google Form.
- Screening of applications and documents.
- Shortlisting by the project team.
- Interview for shortlisted candidates.
The interview date will be communicated only to shortlisted candidates by email.
Important Dates
| Event | Date |
|---|---|
| Advertisement date | 31 October 2026 |
| Institute recruitment-page publication | 1 November 2026 |
| Application deadline stated by institute | 10 days from advertisement date |
| Calendar deadline derived from notice | 10 November 2026 |
| Interview | To be notified by email to shortlisted candidates |
How to Apply for ABV-IIITM Gwalior IoT & AI Research Assistant/Intern 2026
- Open the official ABV-IIITM Gwalior recruitment page and download the project advertisement.
- Confirm that your B.Tech./UG programme is reasonably related to the project’s IoT, AI/ML, computing, sensor or engineering work.
- Use Regal Naukri’s Government Job Eligibility Checker for a preliminary self-check, while treating the institute notice as final.
- Prepare a concise CV highlighting Python, IoT, AI/ML, Arduino, Raspberry Pi, sensor or industrial-data experience.
- Use the Government Job Document Checklist to organise academic and project documents before submission.
- Review the Documents Required for Government Jobs guide so certificates and ID documents are ready if the institute asks for verification.
- Open the official Google Form linked in the advertisement.
- Fill every field accurately and upload all required documents.
- Submit the form within 10 days of the 31 October 2026 advertisement, i.e. by 10 November 2026.
- Keep the submitted-form acknowledgement and monitor email for shortlisting/interview communication.
Documents to Keep Ready
Candidates should prepare:
- updated CV/resume;
- Class 10 and Class 12 certificates;
- current B.Tech./UG enrolment proof or completed degree certificate;
- latest marksheets/semester records;
- project/internship certificates, if available;
- certificates or portfolio evidence for Python, IoT, AI/ML, Arduino or Raspberry Pi work;
- valid photo ID;
- any supporting document requested in the Google Form.
Important Candidate Notes
- This is a project-based Research Assistant/Intern engagement, not a regular institute cadre post.
- The official notice does not print a numeric vacancy count, so no vacancy number is being invented.
- The ₹6,000 stipend is subject to monthly progress assessment.
- Hybrid work is only conditionally permitted; in-person work is preferred.
- Field travel may be required for data collection and testing.
- Incomplete forms or missing documents will not be considered.
- Only shortlisted candidates will receive further communication.
Frequently Asked Questions
What is the project?
The project is Intelligent IoT-Based Predictive Maintenance for Industrial Factory Operation, funded by Yacca Lifesciences Pvt. Ltd.
What qualification is required?
Candidates should be pursuing or have completed a B.Tech./UG programme in a field related to the project.
What is the stipend?
The stipend is ₹6,000 per month, subject to progress assessment.
What is the initial duration?
The initial engagement is six months, with possible quarterly renewal depending on performance, funding and project duration.
What skills are preferred?
Python, IoT technologies, sensor interfacing, Arduino, Raspberry Pi and prior research/sponsored-project internship exposure are desirable.
Is hybrid work allowed?
The institute states that hybrid work may be permitted sometimes, although in-person work is preferred.
Is there an application fee?
The advertisement does not state an application fee.
What is the last date?
The notice says applications must be submitted within 10 days of 31 October 2026. The corresponding calendar deadline is 10 November 2026.
Important Links
| Link | Purpose |
|---|---|
| ABV-IIITM Gwalior Recruitment Page | Official recruitment listing |
| Official IoT Predictive Maintenance Advertisement | One-page official advertisement |
| Official Application Form | Apply online |