IIT Mandi Research Associate-3 Recruitment 2026 - Apply Online for 1 Post

Minimum Qualifications

• Ph.D. in Computer Science and Engineering, Electronics Engineering, Civil Engineering, or allied areas
• Minimum 60% marks or higher in Ph.D

Desirable Qualifications

• Experience in Machine Learning
• Experience in Deep Learning
• Experience in Natural Language Processing (NLP)
• Proficiency in Python programming
• Experience in InSAR (Interferometric Synthetic Aperture Radar) analyses
• Strong command of the English language

General Requirements

• Indian national
• SC/ST candidates may receive age relaxation as per Government of India norms
• Retired/superannuated government employees: salary fixed as per GoI rules/norms
• Selection is merit-based and subject to satisfactory performance

Important Dates

• Advertisement Release Date: 05-02-2026
• Last Date for Online Application Submission: 15-02-2026 (10:00 PM IST)
• Project End Date: 13-10-2027

Application Fee

• All Categories: No Application Fee

Important Instructions and Conditions

• Position is on a temporary contractual basis for the project duration
• Services are subject to satisfactory performance evaluation
• Renewal of services, if any, will depend on project requirements and performance
• IIT Mandi reserves the right to fix higher criteria for shortlisting
• Salary is consolidated as per project norms
• Shortlisted candidates will be informed via the website or direct communication
• Interviews may be conducted offline or online as communicated to shortlisted candidates
• Only Indian nationals are eligible to apply

How to Apply

• Applicants must apply ONLINE using the Google Form link provided in the official notification PDF
• Deadline: Submit before 10:00 PM IST on 15-02-2026
• Required CV details include personal information, qualifications, research experience, publications, affiliations, contact details for referees
• No offline applications will be accepted

Project and Organization Details

• Project Title: Integrated Machine Learning and Remote Sensing for Real-Time Predictive Modeling of Rainfall-Induced Landslides in Kamand Valley
• Funding Agency: National Mission on Himalayan Studies (NMHS)
• Project Duration: 36 months
• Project Start Date: From Notification date
• Principal Investigator: Prof. Varun Dutt
• Co-Principal Investigator: Prof. K V Uday
• Center: Indian Knowledge System and Mental Health Applications Centre (IKSMHA)