IIT Indore Recruitment 2026: Applications Invited for Junior Research Fellow (JRF) Position Under ANRF-Funded Project

IIT Indore Recruitment 2026: Applications Invited for Junior Research Fellow (JRF) Position Under ANRF-Funded Project

The Indian Institute of Technology (IIT) Indore has invited applications from interested and motivated candidates for the position of Junior Research Fellow (JRF) under an Anusandhan National Research Foundation (ANRF)-funded research project in the Department of Civil Engineering.

The project focuses on developing an AI-based overtaking assistance system for Indian road scenarios, combining transportation engineering, computer vision, machine learning, and embedded systems technologies.

Interested candidates can apply on or before 28 June 2026.

Position Details

Project Overview

The OASIS (Overtaking Assistance System in Indian Scenario) project aims to develop intelligent driver-assistance solutions tailored to Indian road conditions. The project integrates transportation engineering, sensor technologies, computer vision, and artificial intelligence to enhance road safety and driver decision-making.

Fellowship and Tenure

Essential Qualifications

Candidates should possess any one of the following:

• B.E./B.Tech. degree in Civil Engineering with a valid GATE score;

OR

• M.E./M.Tech. or equivalent degree in Transportation Engineering or another relevant specialization.

Desirable Qualifications

Preference will be given to candidates with experience in:

• GPS-based vehicle and traffic data collection

• Computer Vision

• Artificial Intelligence (AI)

• Machine Learning (ML)

• Sensor technologies and data analytics

Roles and Responsibilities

The selected JRF will be expected to:

• Conduct field surveys and collect traffic data on rural highways.

• Assist in the instrumentation of vehicles with cameras, GPS devices, and other sensors for naturalistic driving studies.

• Process, manage, and analyse large-scale video, sensor, and traffic datasets.

• Develop, calibrate, and validate statistical and machine-learning models related to overtaking behaviour, driver decision-making, and road safety.

• Support the design and development of AI-based overtaking assistance algorithms using computer vision, deep learning, and sensor-fusion techniques.

• Assist in implementing, integrating, and testing prototype systems on embedded computing platforms such as NVIDIA Jetson Nano.

• Prepare technical reports, research manuscripts, project documentation, presentations, and dissemination materials.

• Coordinate with stakeholders, government agencies, and field personnel during data collection and system validation activities.

• Perform additional project-related tasks assigned by the Principal Investigator.

Important Dates

Eligible and interested candidates are encouraged to apply before the deadline.

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