IITG Project Associate-I Recruitment 2026

About This Job

IIT Guwahati is hiring 1 Project Associate-I for a Mechanical Engineering research project on an AI-based 3D surface profilometry system. If you have a B.Tech, B.E., M.Tech or M.E. with valid GATE score in Mechanical, Electrical, Computer Science or allied disciplines, you can apply online. The online interview is scheduled for 29 June 2026 at 10:00 AM. The monthly pay is Rs. 37,000 plus Rs. 7,400 HRA, making the total Rs. 44,400 per month.

Indian Institute of Technology Guwahati Project Associate-I Recruitment 2026 - 1 Post

Indian Institute of Technology Guwahati (IIT Guwahati) has issued an R&D project staff notice for 1 Project Associate-I post. The post is under the project titled Development of an Intelligent and Affordable 3D Surface Profilometry System with AI-Based Reconstruction and Real-Time Feature Recognition for Advanced Manufacturing. There is no written exam mentioned; selection will be based on performance in the online interview.

The project belongs to the Department of Mechanical Engineering and is linked to advanced manufacturing, AI reconstruction, image processing and real-time feature recognition. This opening is useful for engineering graduates or postgraduates who want project experience in AI, machine learning, robotics, automation, control systems, data analytics, digital manufacturing, Industrial IoT and smart manufacturing. The appointment duration is 11 months, so you should treat it as a project-based role rather than a permanent IIT staff post.

Who Can Apply?

Educational Qualification

• Qualification option 1: You need a B.Tech or B.E. in Mechanical Engineering, Electrical Engineering, Computer Science and Engineering, or allied disciplines with a valid GATE score.
• Qualification option 2: You can also apply with an M.Tech or M.E. in Mechanical Engineering, Electrical Engineering, Computer Science and Engineering, or allied disciplines with a valid GATE score.
• Project fit: The notice prefers candidates who can work around AI/ML, image processing, software development, automation, robotics, data analytics and smart manufacturing.
• Interview mode: The interview will be held in online mode, so you should keep your email and application portal details active after applying.

Preferred Areas

• AI and machine learning: Useful for reconstruction and real-time recognition work in the project.
• Image processing: Useful because the project deals with surface profilometry and feature recognition.
• Software development: Useful for building and testing the intelligent system.
• Automation, control systems, robotics and mechatronics: Useful for advanced manufacturing applications.
• Industrial IoT and smart manufacturing: Helpful for candidates who understand connected manufacturing systems.

Project and Contact Details

• Project code: 2627R-0102-MECH1332RIKU.
• Principal Investigator: RK Mittal.
• Clarification email: rkmittal@iitg.ac.in.
• Phone: 03612583576.
• Portal technical help: ernd@iitg.ac.in.

Salary

• Recommended monthly pay: Rs. 37,000.
• HRA: Rs. 7,400.
• Total monthly amount: Rs. 44,400.
• Medical allowance: Not applicable as per the salary table in the notice.
• Appointment duration: 11 months.

The structured salary is shown as Rs. 44,400 per month because the notice gives the total amount after adding HRA. The base pay and HRA are also listed separately so you can understand how the total is calculated.

Selection Process (No Written Exam)

The selection process is based on the online interview. The notice says candidates will not receive a separate call letter, so you should follow the portal instructions carefully.

1. Online application: Apply through the IIT Guwahati R&D recruitment portal for the correct project title.
2. Application screening: IIT Guwahati will check whether your qualification and GATE details match the notice.
3. Online interview: Attend the interview on 29 June 2026 at 10:00 AM.
4. Final selection: Selection will depend on your performance in the online interview.

The notice does not mention a written test, question paper, marks, negative marking or separate skill test. Your engineering background, GATE score and project-related skills should be easy to explain during the online interview.

How to Apply

1. Go to the IIT Guwahati R&D recruitment portal at iitg.ac.in/rndproj/recruitment.
2. Search for the project title Development of an Intelligent and Affordable 3D Surface Profilometry System with AI-Based Reconstruction and Real-Time Feature Recognition for Advanced Manufacturing.
3. Open the Project Associate-I application linked to that project.
4. Fill in your personal, education, GATE and contact details carefully.
5. Upload or enter the required information as asked on the portal.
6. Submit the online application and keep checking your email and portal status for interview instructions.

Use the official IIT Guwahati R&D portal only for applying. If you face a technical issue in the online application process, the notice gives ernd@iitg.ac.in for help.

Documents to Keep Ready

• Degree certificates: B.Tech/B.E. or M.Tech/M.E. certificates and mark sheets.
• GATE proof: Valid GATE score details.
• Identity proof: Government-issued ID for verification.
• Experience or skill proof: Any certificate or project record linked to AI, ML, image processing, robotics, automation or smart manufacturing.
• Contact details: Active email and phone number for interview communication.

Important Dates

• Application Start: 17 June 2026
• Online Interview Date: 29 June 2026
• Interview Time: 10:00 AM
• Last Date to Apply Online: 29 June 2026

• Support research work on AI-based 3D surface profilometry for advanced manufacturing
• Develop and test software modules for image processing and feature recognition
• Assist with automation, control system, robotics and mechatronics-related project tasks
• Prepare datasets, analyse results and document technical observations clearly
• Coordinate with the Principal Investigator and project team for experiments and reviews
• Maintain project records, reports and code or data files in an organised way