Postdoctoral Fellowship in Memristor-Based Neuromorphic Computing, In-Memory Computing, and CIM-Based AI Accelerators @Chennai - Amrita Vishwa Vidyapeetham

Postdoctoral Fellowship in Memristor-Based Neuromorphic Computing, In-Memory Computing, and CIM-Based AI Accelerators @Chennai

Amrita Vishwa Vidyapeetham, chennai Campus is inviting applications from qualified candidates for the post of Postdoctoral Fellowship in Memristor-Based Neuromorphic Computing, In-Memory Computing, and CIM-Based AI Accelerators

Job Title	Postdoctoral Fellowship in Memristor-Based Neuromorphic Computing, In-Memory Computing, and CIM-Based AI Accelerators
Job Description	Conduct research on memristor device modeling, characterization, and performance optimization for computing applications. Develop neuromorphic architectures inspired by biological neural systems for efficient signal and pattern processing. Design and implement in-memory computing circuits and computing-in-memory (CIM) based AI accelerators. Perform simulations using industry-standard EDA tools, device simulators, and circuit-level modeling software. Prototype and evaluate hardware implementations on FPGA/ASIC platforms or crossbar arrays. Collaborate with multidisciplinary teams working in nanofabrication, electronics, and machine learning. Publish high-quality research outcomes in top-tier journals and conferences. Contribute to project documentation, grant activities
Research Areas:	Memristor device modeling and performance optimization for computing applications. Neuromorphic circuit and architecture design inspired by biological neural systems. In-memory computing techniques using memristor crossbar arrays for AI workloads. Energy-efficient CIM-based AI accelerator development Mixed-signal and low-power VLSI/ASIC implementation of neuromorphic processors. Hardware–software co-design and FPGA prototyping for emerging computing architectures. Application-driven integration of memristive hardware for intelligent edge devices.
Qualification	Ph. D. in Electronics and Communication Engineering, Optoelectronics, Electrical Engineering, or any other related field relevant to the research.
Experience	1-2 years of Experience working in an Educational Institution Experience Required
Last Date to Apply	November 30, 2026

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