PhD in Energy-Efficient Edge AI Hardware and Transformer Accelerator at BITS Pilani
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.
