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NUS Career Portal link - https://careers.nus.edu.sg/job/Research-Fellow-%28Circuit-Design-for-Carbon-Nanotube-FET-Logic-and-Emerging-Memory%29/34218-en_GB/
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The Department of Electrical and Computer Engineering (ECE), College of Design and Engineering, is seeking a Research Fellow to lead the circuit design track of a research programme on nanoelectronic integrated circuits - carbon nanotube FET (CNFET) logic, emerging on-chip memories, and their monolithic 3D integration on silicon CMOS.
Key responsibilities:
. Design CNFET digital circuits and standard cells, and build and calibrate CNFET compact models (Verilog-A) against measured device data.
. Design memory macros in emerging memory technologies - including gain cell, oxide-semiconductor based and resistive (RRAM) memories - covering the array and its peripheral circuits (sense amplifiers, write drivers, decoders and drivers, timing and refresh control).
. Carry out device-circuit co-optimisation and variation-aware, defect-tolerant design for immature technologies, and benchmark power, performance and area against silicon CMOS.
. Explore monolithic 3D integration enabled by the low-temperature (BEOL-compatible) flows - memory over logic, and compute-in-memory / edge-AI applications.
. Produce test-vehicle layouts with DRC/LVS closure, coordinate tape-out with the process team and industry partners, and lead the electrical testing and analysis of fabricated chips.
. Publish in leading venues, supervise graduate students, and contribute to invention disclosures and research proposals.
Essential:
. PhD in Electrical Engineering, Microelectronics, Computer Engineering or a closely related field (awarded, or thesis submitted, at the time of application).
. Demonstrated digital and/or mixed-signal IC design experience using a commercial design flow (Cadence Virtuoso and Spectre, synthesis and place-and-route), including full-custom layout with DRC/LVS closure.
. Experience designing memory macros and their peripheral circuits - sense amplifiers, write drivers, decoders and timing control - for SRAM, DRAM, gain cell or emerging memory.
. Compact modelling and device-circuit co-design, including Verilog-A model development and parameter extraction from measured data.
. Statistical and Monte Carlo circuit analysis, and the ability to reason about variability and yield when the technology has no mature PDK.
. Scripting for design automation and data analysis (Python, TCL, SKILL or equivalent).
. A publication record commensurate with career stage, strong written and spoken English, and the ability to work independently and to guide junior researchers.
Desirable:
. Circuit design on an emerging device technology - CNFETs, 2D-material FETs, oxide-semiconductor (IGZO/ITO) FETs, RRAM, or ferroelectric devices.
. Monolithic 3D IC design, memory-over-logic partitioning, or thermal-aware physical design.
. Standard-cell library development and characterisation.
. Tape-out and silicon bring-up experience.
. Compute-in-memory accelerator design, or hardware for edge AI.
. Experience working alongside a foundry or an external process partner.
Job ID: 153388369

Skills:
Python, Tcl, place-and-route, Data Analysis, DRC LVS closure, Skill, scripting for design automation, timing control, device–circuit co-design, Statistical and Monte Carlo circuit analysis, Spectre synthesis, decoders, Verilog-A model development, sense amplifiers, full-custom layout, Cadence Virtuoso, compact modelling, write drivers