Ramesh Sambangi
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1 week ago
PhD in Energy-Efficient Edge AI Hardware and Transformer Accelerator at BITS Pilani BITS Pilani in India
Degree Level
PhD
Field of study
Computer Science
Funding
Sponsored PhD position under CREST (Center for Research Excellence in Semiconductor Technologies) at BITS Pilani. Fellowship support is ₹37,000 per month, with duration as per BITS Pilani norms.
Deadline
Oct 31, 2026
Country
India
University
BITS Pilani
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About this position
PhD Research Opportunity at BITS Pilani, Pilani Campus, Rajasthan in Energy-Efficient Edge AI Hardware.
The advertised project is “A Reconfigurable Sparse-Quantized Transformer Accelerator for Energy-Efficient Edge AI Inference”, supported by CREST (Center for Research Excellence in Semiconductor Technologies). The research sits at the intersection of Electrical Engineering and Computer Science, with strong emphasis on VLSI, digital design, computer architecture, FPGA/ASIC design, and machine learning for efficient transformer inference on edge devices.
Supervision is by Dr. Ramesh Sambangi (PI, Assistant Professor, Department of EEE, BITS Pilani) and Dr. G. Sai Sesha Chalapathi (Co-PI, Associate Professor, Department of EEE, BITS Pilani).
Eligibility includes an M.E./M.Tech/M.S. in Electronics, VLSI, Microelectronics, or allied areas, or a B.E./B.Tech in Electronics, Communications, or allied areas. Preferred skills include Digital Design, VLSI Architecture, Computer Architecture, FPGA/ASIC Design, and Machine Learning fundamentals. GATE qualification is preferable but not mandatory.
The position offers a fellowship of ₹37,000 per month, with duration as per BITS Pilani norms. The application deadline is 31 October 2026. Interested candidates should apply using the provided link and may contact [email protected] for more information.
Funding details
Sponsored PhD position under CREST (Center for Research Excellence in Semiconductor Technologies) at BITS Pilani. Fellowship support is ₹37,000 per month, with duration as per BITS Pilani norms.
What's required
Applicants should have an M.E./M.Tech/M.S. in Electronics, VLSI, Microelectronics, or allied areas, or a B.E./B.Tech in Electronics, Communications, or allied areas. Desired skills include Digital Design, VLSI Architecture, Computer Architecture, FPGA/ASIC Design, and Machine Learning fundamentals. GATE qualification is preferable but not mandatory.
How to apply
Submit an application through the provided LinkedIn short link. For queries, contact Dr. Ramesh Sambangi by email.
More information can be found here
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