Postdoctoral Fellowship at Chennai

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Job Description

Job Title Postdoctoral Fellowship in Memristor-Based Neuromorphic Computing, In-Memory Computing, and CIM-Based AI Accelerators Location Chennai, Tamilnadu Required Number 1 Qualification PhD in Electronics and Communication Engineering, Optoelectronics, Electrical Engineering, or any other related field relevant to the research. 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.
Job Category Research Last date to apply December 31, 2025

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