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Sivraj P

1 month ago

PhD in AI-Driven Battery Intelligence for Advanced Battery Management Systems in Electric Vehicles Amrita Vishwa Vidyapeetham in India

Degree Level

PhD

Field of study

Computer Science

Funding

Full funding available
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Country

India

University

Amrita Vishwa Vidyapeetham

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Keywords

Computer Science
Mechanical Engineering
Electrical Engineering
Materials Science
Artificial Intelligence
Fault Diagnosis
Electric Vehicle
Embedded System
Physics
Machine learning

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About this position

Amrita Vishwa Vidyapeetham is inviting applications for a PhD opportunity in AI-Driven Battery Intelligence for Advanced Battery Management Systems (BMS) in Electric Vehicles.

The research is centered on developing next-generation intelligent BMS using Artificial Intelligence, Machine Learning, Embedded Systems, and Physics-Informed Modeling. The project aims to build robust algorithms for estimating and predicting key battery states such as State of Charge (SoC), State of Health (SoH), State of Power (SoP), and Remaining Useful Life (RUL).

Research themes include battery modeling, AI-driven analytics, embedded implementation, experimental validation, battery fault diagnosis and prognostics, thermal modeling, safety prediction, and electric vehicle energy management. A major emphasis is on hybrid AI-physics models that combine electrochemical battery behavior with data-driven learning for interpretability and strong predictive performance.

The work will involve simulation, hardware-based testing, and implementation on embedded platforms, with the goal of producing real-world intelligent battery monitoring and control solutions for future electric mobility and energy storage systems.

Funding includes a fellowship of ₹30,000–₹40,000 per month, with enhanced opportunities up to ₹55,000 per month. Additional support is mentioned for research infrastructure (up to ₹10 Lakhs), publication support (up to ₹6 Lakhs), and international collaboration/conference travel.

Eligibility highlights: candidates with strong analytical skills, curiosity for research, and interest in battery technologies, AI/ML, and sustainable mobility systems are especially welcome. The post does not specify a deadline, and no language-test waiver or fee waiver is mentioned.

How to apply: use the Amrita admissions portal link provided in the post. Register, complete personal information, pay the application fee, and finish the remaining application steps before interview/test. International applicants should use the international admissions portal.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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