IIT (ISM) Dhanbad has released a project-based recruitment notice for the post of Project Associate-I under a TEXMiN project. This is a specialised research and development opening linked to work on predictive maintenance of induction motors used in mining applications. If you are looking for the essential details first, the main points are simple: there is 1 vacancy, the application is online through a Google Form, and the last date is 20 April 2026.
The role is being offered under the Department of Computer Science and Engineering with Prof. Partha Pratim Roy as the Principal Investigator. The project focuses on a physics-informed digital twin for predictive maintenance, so the job is most relevant for candidates with a technical background in computer science, electronics, electrical, mechanical, or closely related engineering areas. The notice also makes it clear that preference will go to candidates who already have GATE or NET scores and some relevant hands-on project or internship experience.
Before applying, it is worth checking whether your skills actually match the work described in the notification. The selected candidate is expected to work with sensor data, AI and ML models, Remaining Useful Life prediction, AWS IoT integration, Grafana dashboards, and IIoT-based systems. This page brings together the practical points that matter most before you submit the form, including eligibility, desirable skills, salary, age limit, selection process, and what the project work is likely to involve.
IIT ISM Dhanbad Project Associate I Recruitment 2026 Overview
This recruitment is for 1 Project Associate-I position at IIT (ISM) Dhanbad under a TEXMiN-sponsored project. The opening is listed by the Office of the Dean (Research and Development) and is attached to the Department of Computer Science and Engineering.
This is not a regular permanent institute post. It is a project-based research appointment, so applicants should read the role as a fixed-term technical position tied to a specific research problem and project duration.
| Particular | Details |
|---|---|
| Post Name | Project Associate-I |
| Total Posts | 1 |
| Institute | IIT (ISM) Dhanbad |
| Department | Computer Science and Engineering |
| Application Mode | Online |
| Last Date | 20 April 2026 |
Project Details and Research Area
The official notification states that the position is under the project titled "Development and Validation of a Physics-Informed Digital Twin for Predictive Maintenance of Induction Motor." The project is connected to mining applications, which means the work is not only software-focused but also tied to industrial equipment monitoring and maintenance.
The post is under the supervision of Prof. Partha Pratim Roy, Professor, Department of Computer Science and Engineering. The project tenure mentioned in the notice is 21 months.
- Project area: Physics-informed digital twin systems
- Application context: Predictive maintenance of induction motors used in mining
- Technical focus: AI, ML, sensing, visualization, and IIoT integration
- Project duration: 21 months
What the Selected Candidate Will Work On
The job description is quite specific, which is useful for applicants trying to judge fit. The selected candidate will work on developing a physics-informed digital twin for predictive maintenance of induction motors used in mining applications.
According to the notice, the role includes sensor data acquisition, real-time monitoring, AI and ML model development for anomaly detection, Remaining Useful Life prediction, and integration with AWS IoT. The work also covers simulation of fault conditions, dashboard development using Grafana, and IIoT-based systems aimed at improving safety and reducing downtime.
- Sensor data acquisition and monitoring
- Anomaly detection model development
- Remaining Useful Life prediction
- Cloud integration using AWS IoT
- Fault simulation
- Grafana dashboard development
- IIoT system implementation
Eligibility Criteria
The essential qualification is B.Tech in Computer Science Engineering, Electronics Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline with a minimum of 60% marks or equivalent CGPA.
The notification also says preference will be given to candidates with valid GATE or NET scores and relevant project or internship experience. This means candidates who meet the degree requirement but also have demonstrated research or technical exposure will likely have an advantage during shortlisting.
| Requirement | Details |
|---|---|
| Minimum Degree | B.Tech |
| Eligible Branches | CSE, Electronics, Electrical, Mechanical, or related disciplines |
| Minimum Marks | 60% or equivalent CGPA |
| Preference | Valid GATE or NET score and relevant project or internship experience |
Desirable Qualification and Skills
The desirable qualification section widens the profile slightly and mentions B.Tech or M.Tech in CSE, Electrical, Electronics, Mechanical, or allied fields. More importantly, it lists the technical areas the institute is looking for in a strong application.
Candidates should ideally have knowledge of Artificial Intelligence, Machine Learning, Digital Twin technology, signal processing, and Industrial IoT systems. Experience in Python programming, deep learning methods such as CNN or LSTM, cloud computing on AWS, data analytics, and visualization tools like Grafana is specifically described as desirable.
- Artificial Intelligence and Machine Learning
- Digital Twin technology
- Signal processing
- Industrial IoT systems
- Python programming
- Deep learning such as CNN and LSTM
- AWS cloud computing
- Data analytics and Grafana
Age Limit and Relaxation
The official notice mentions a maximum age of 35 years at the time of appointment. It also states that age relaxation will be applicable as per Government of India norms.
This means candidates from SC, ST, OBC non-creamy layer, and PwD categories should check whether they are eligible for relaxation under the applicable rules and keep supporting documents ready if required during verification or interview stages.
Salary, HRA and Project Tenure
The fellowship for the Project Associate-I post is Rs. 25,000 per month plus HRA as per institute norms. This is the amount explicitly mentioned in the official notification.
The project tenure is 21 months. Since this is a project appointment, the duration is tied to the sanctioned project period rather than a regular institute service structure.
| Component | Details |
|---|---|
| Monthly Fellowship | Rs. 25,000 |
| Additional Benefit | HRA as per institute norms |
| Project Duration | 21 months |
| Appointment Type | Project-based contractual position |
How to Apply Online
The application process is online. The second page of the official notice provides a Google Form link and also shows a QR code for submission. Applicants should use the form link given in the official PDF rather than relying on third-party summaries.
- Open the official notification PDF.
- Go to the application link mentioned on the second page.
- Fill in your academic, technical, and contact details carefully.
- Keep your marks, CGPA, branch details, and experience information ready before starting the form.
- Submit the form before 20 April 2026.
Because the application is through an online form, it is better not to wait until the last day. Technical issues or incomplete details can cause avoidable problems near the deadline.
Selection Process and Interview
The notification states that shortlisted candidates will be informed about the interview date, and the interview will be conducted online. The notice also clearly says that merely having the minimum qualification does not guarantee an invitation to the interview.
In practice, this means shortlisting will likely depend on overall merit and how closely the candidate's academic background and technical skills match the project requirements. Applicants with stronger alignment in AI, signal processing, Python, IoT, or predictive maintenance work are likely to be better placed.
- Initial screening of applications
- Shortlisting based on merit and project requirements
- Online interview for shortlisted candidates
Important Dates and Application Checklist
The recruitment notice is dated 30 March 2026, and the last date to apply is 20 April 2026. Before submitting the form, candidates should make sure their degree, marks, branch, and skills are entered correctly.
A simple final review before submission can prevent mistakes. Since the screening is merit-based, clean and accurate information matters.
| Event | Date or Note |
|---|---|
| Notification Date | 30 March 2026 |
| Last Date to Apply | 20 April 2026 |
| Interview Mode | Online |
- Check your branch eligibility
- Confirm 60% marks or equivalent CGPA requirement
- Keep GATE or NET details ready if applicable
- Review project or internship experience before form submission
- Apply only through the official link given in the notice
Official Links
Frequently Asked Questions
What is the last date to apply for IIT ISM Dhanbad Project Associate I Recruitment 2026?
The last date to apply is 20 April 2026.
How many vacancies are available in IIT ISM Dhanbad Project Associate I Recruitment 2026?
There is 1 vacancy for the Project Associate-I post.
What is the minimum qualification required for this IIT ISM Dhanbad post?
The essential qualification is B.Tech in Computer Science Engineering, Electronics Engineering, Electrical Engineering, Mechanical Engineering, or a related discipline with at least 60% marks or equivalent CGPA.
What salary is offered for the Project Associate I post at IIT ISM Dhanbad?
The fellowship is Rs. 25,000 per month plus HRA as per institute norms.
How do I apply for IIT ISM Dhanbad Project Associate I Recruitment 2026?
You have to apply online through the Google Form link provided in the official notification PDF.
Will there be a written test for IIT ISM Dhanbad Project Associate I Recruitment 2026?
The notification mentions shortlisting based on merit and project requirements followed by an online interview. It does not mention a separate written test.
What kind of technical background is preferred for this post?
Candidates with knowledge of AI, ML, digital twin technology, signal processing, Industrial IoT, Python, AWS, data analytics, and Grafana are preferred.