2 Jun 2025
Up to ₹20,000/month
6 months (starting June/July 2025)
Final-year B.Tech/B.E., M.Tech/M.E., or early-stage PhD students in Transportation, Computer Science, Data Science, Urban Planning, Civil Engineering or related fields
Updated Resume/CV, Statement of Purpose (100–150 words), educational details, technical skills summary, optional GitHub or project portfolio links
Deadline: 2 Jun 2025
The Indian Institute of Technology (IITB) Bombay has announced a unique 6-month internship opportunity for students interested in real-time data integration, AI/ML, and urban transport systems. This research-focused internship revolves around building a powerful tool to analyze and integrate multi-source transport data in real time, aimed at improving urban mobility and decision-making systems.
This internship project focuses on the fusion of multi-modal data sources like GPS, Wi-Fi, Bluetooth, CDRs, CCTV, and GTFS feeds into a unified, actionable platform. The selected interns will actively participate in developing data pipelines, applying machine learning techniques, and generating interactive dashboards for intelligent urban transport modeling.
This is a research-intensive position under the guidance of renowned IIT Bombay professors, Prof. Archak Mittal and Prof. Avijit Maji.
The program is open to passionate individuals from academic backgrounds related to transportation systems and data science. Here’s the eligibility criteria:
While this internship will provide significant learning exposure, candidates with prior knowledge in the following areas will be preferred:
Shortlisted candidates will be contacted via email for an interview round.
Before starting the application, ensure you have the following documents and details ready:
Head to the official https://docs.google.com/forms/d/e/1FAIpQLSdfi4e7zqfLBXFEmPoVhi5Woz8uHAe4V0Lu3ORLY0QHgy8rcg/viewform
and begin by entering your personal and academic details.
Make sure to upload your Resume and SOP. The form also allows you to attach supporting files like GitHub links, code samples, or a technical portfolio.
Once you’ve completed the form, submit it. Shortlisted applicants will receive an email invitation for an interview conducted by the project leads.
This is more than just an academic internship — it’s an opportunity to:
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