ACTIVE Technical

Junior Research Fellow (JRF) - Reinforcement Learning Based Eco-Driving Assistance System

Indian Institute of Technology Kanpur
Advertisement No: P.Rect./R&D/2026/151
Total Vacancies
1
Salary
Rs. 37,000 + 20% HRA
Days Left
8 days
Application Fee
- No application fee required.
Gender
All
Page Views
3,891
๐Ÿ“‹ Job Description
- Temporary position for a Junior Research Fellow (JRF) under an ANRF-funded research project.
- Focus on developing a Reinforcement Learning Based Eco-Driving Assistance System for Indian Highways.
- Project involves collaboration between the Department of Civil Engineering and Electrical Engineering at IIT Kanpur.
- Opportunity to work on cutting-edge research in transportation engineering, AI, and data science.
โœ… Eligibility Criteria
- M.Tech./ME/MSc. in Civil Engineering (Transportation Engineering), Computer Science and Engineering, Electrical Engineering, Mechanical Engineering, Electronics and Communication Engineering, Data Science, or allied fields with a minimum CPI of 6.5 or 60% marks and valid GATE/NET qualification (UGC/CSIR).
- OR B.Tech./B.E./B.Sc. in Civil Engineering, Computer Science and Engineering, Electrical Engineering, Mechanical Engineering, Electronics and Communication Engineering, Data Science, Machine Learning and Computing, or allied fields with at least 70% marks or 7.5 CPI and valid GATE/NET qualification (UGC/CSIR).
- Desired: Proficiency in programming tools such as Python, R, MATLAB, or similar platforms.
- Experience in data processing, vehicle sensor data analysis, computer vision, reinforcement learning (RL), or traffic data analysis will be preferred.
๐Ÿ† Selection Process
- Shortlisting of candidates based on eligibility criteria and qualifications.
- Shortlisted candidates will be called for an online interview.
- Final selection based on interview performance.
๐Ÿ“Š Key Information
OrganizationIndian Institute of Technology Kanpur
Location / StateUttar Pradesh
Job LocationKanpur, Uttar Pradesh
Category EligibilityAll
Experience RequiredNot explicitly required, but relevant experience in programming, data analysis, or AI/ML will be preferred.
Last Date to Apply05 August 2026
๐Ÿ“Š IIT Kanpur Recruitment - Vacancy Details
Post Name Total Posts
Junior Research Fellow (JRF) 1
Total 1
๐Ÿ“ Required Documents
- Latest Curriculum Vitae (CV) in PDF format.
- Proof of educational qualifications (degree certificates and mark sheets).
- Valid GATE/NET scorecard (if applicable).
- Any additional documents supporting relevant experience or skills.
๐ŸŽ“ Required Qualifications
bsc btech be msc mtech me
๐Ÿ“Š Vacancy Details
  • Total vacancies: 1 (Junior Research Fellow - JRF).
โ“ Frequently Asked Questions
Q. What is the duration of the Junior Research Fellow (JRF) position?
A. The initial appointment is for one year, with the possibility of extension based on satisfactory performance until the end of the project duration.
Q. What are the eligibility criteria for applying to the JRF position?
A. Candidates must have an M.Tech./ME/MSc. in Civil Engineering (Transportation Engineering), Computer Science and Engineering, Electrical Engineering, Mechanical Engineering, Electronics and Communication Engineering, Data Science, or allied fields with a minimum CPI of 6.5 or 60% marks and a valid GATE/NET qualification. Alternatively, a B.Tech./B.E./B.Sc. in the same fields with at least 70% marks or 7.5 CPI and a valid GATE/NET qualification is required.
Q. What programming tools are preferred for this position?
A. Familiarity with programming tools such as Python, R, MATLAB, or similar platforms is desired. Experience in data processing, vehicle sensor data analysis, computer vision, reinforcement learning (RL), or traffic data analysis will be preferred.
Q. What is the salary for the JRF position?
A. The salary is Rs. 37,000 per month plus a 20% House Rent Allowance (HRA).
Q. How can I apply for the JRF position?
A. Interested candidates should send their latest CV via email to Prof. Pranamesh Chakraborty at pranames@iitk.ac.in with the subject line 'ANRF Junior Research Fellow Application'. Additionally, they must fill out the application form available at https://forms.gle/aaNCBJjVkyWjd9G28.