BITS Pilani Research Fellow Recruitment 2026

BITS Pilani is hiring one Cross Disciplinary Research Fellow (CDRF) for a project on digital-twin technology for EV powertrain converters at its Pilani Campus, Rajasthan. If you have a B.E./B.Tech or M.E./M.Tech in Electrical Engineering (or an equivalent branch) and want to pursue a full-time PhD, you can apply online through a Google Form. The last date to apply is 25 July 2026. The fellowship pays Rs. 37,000 to Rs. 42,000 per month, based on your year of PhD and performance.

Birla Institute of Technology and Science, Pilani (BITS Pilani) CDRF Recruitment 2026 - 1 Post

BITS Pilani has released an advertisement for one Cross Disciplinary Research Fellow position under Prof. Aditya R. Gautam (Electrical and Electronics Engineering) and Prof. Sangita Yadav (Mathematics), Pilani Campus. The selected fellow will work on "Real-Time Prototyping and Development of a Digital Shadow for an Energy-Efficient Multiport Converter in EV Powertrain Applications" — an inter-disciplinary research project combining electrical engineering, control systems, and machine learning. This position is open only to candidates who intend to join BITS Pilani's full-time, on-campus PhD program, so you must also meet the institute's PhD admission criteria.

What the Project Is About

The multiport converter you will work on connects multiple power sources to multiple loads at different voltage and power levels for electric vehicle use. Your job is to help build a digital-shadow (digital-twin) of this system, using real-time, IoT-based data links between the digital model and the actual hardware. A working digital twin gives engineers better monitoring, control, and predictive maintenance, and helps improve the converter's performance through operational optimization and more accurate forecasting.

Who Can Apply?

• Essential Qualification: B.E./B.Tech in Electrical Engineering (or equivalent) OR M.E./M.Tech in Electrical Engineering (or equivalent).
• Desirable Experience: Work experience in projects related to power electronic converters, electrical drives, electric vehicles, control systems, digital-twin technology, forecasting, optimization, or machine learning.
• PhD Intent: You must intend to pursue a full-time, on-campus PhD program at BITS Pilani and meet its PhD admission eligibility criteria.

Salary

• You will get a fellowship of Rs. 37,000 to Rs. 42,000 per month, based on your year of PhD and performance.
• Hostel or married-scholar accommodation may be provided, subject to availability and institute rules.
• You also get the chance to work on cutting-edge research areas — electric vehicles, power electronic converters and their control, and digital-twin technology — while sharpening inter-disciplinary skills in control systems, forecasting, and optimization.

Selection Process (No Written Exam)

Your selection will go through these stages:

1. Resume Shortlisting: Your CV is screened against the essential and desirable qualifications.
2. Preliminary Interview: Shortlisted candidates get a telephonic or audio-visual interview within a week of the last date.
3. Final Interview: Candidates selected in the preliminary round are informed by email for a final interview. No TA/DA is provided for the personal interview.

How to Apply

1. Prepare your updated CV highlighting your qualifications and relevant project experience.
2. Go to the online application form at forms.gle/tUEymdXprXdFQpHA8.
3. Fill in your details and upload your CV.
4. Submit the form before 25 July 2026.
5. Wait for a call or email for the telephonic/video interview if you are shortlisted.

For queries, you can contact Dr. Aditya R. Gautam at aditya.gautam@pilani.bits-pilani.ac.in. You can also register for a PhD in the same field of research at BITS Pilani once selected, as per the institute's admission norms.

Important Dates

• Notification Date: 07 July 2026
• Last Date to Apply: 25 July 2026
• Joining: At the earliest

• Design and develop a digital-twin (digital-shadow) model for a multiport EV power converter
• Build real-time, IoT-based data interfaces between the digital model and the physical system
• Run simulations for monitoring, control, and predictive maintenance of the powertrain
• Apply optimization and forecasting techniques to improve converter performance
• Collaborate with the Electrical Engineering and Mathematics project teams
• Document research progress and help prepare reports and publications from project findings
• Register for and pursue a full-time PhD at BITS Pilani alongside the fellowship work