University of Idaho
3 days ago
PhD Positions in Biosensing & Biomedical Integrated Circuits and Edge-AI Computing Chips University of Idaho in United States
Degree Level
PhD
Field of study
Computer Science
Funding
Qualified students may receive RA/TA support and tuition support. The post also mentions opportunities for IC tapeout, publications, and collaborative research.
Country
United States
University
University of Idaho

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About this position
PhD positions are available in the iNEXT Lab at the University of Idaho in the Department of Electrical and Computer Engineering.
The openings are for Spring 2027 and Fall 2027, with research directions in two main areas: Biosensing & Biomedical Integrated Circuits and Edge-AI Computing Chips.
Research topics include: CMOS analog/mixed-signal ICs, electrochemical and bioelectronic sensor interfaces, low-noise TIA/AFE design, low-power ADCs, multi-channel biosensing ASICs, sensor-on-chip systems, Edge-AI-enabled biomedical platforms, energy-efficient AI accelerators, AI/ML hardware, digital and mixed-signal computing, Compute-in-Memory (CIM), neuromorphic computing, low-power CMOS architectures, hardware/software co-design, and ASIC implementation.
Preferred background: Electrical/Computer Engineering, Microelectronics, VLSI, IC Design, or related fields. Helpful experience includes Cadence Virtuoso/Spectre, analog/mixed-signal IC design, CMOS/VLSI, Verilog/SystemVerilog, FPGA/ASIC, Python/MATLAB, machine learning, or biosensors.
Funding: Qualified students may receive RA/TA support and tuition support. The post also highlights opportunities for IC tapeout, publications, and collaborative research.
How to apply: Email your CV, transcripts, research interests, and relevant projects/publications to the listed contact email. Include the subject line “LastName – PhD Application – Spring/Fall 2027.”
Deadline: Not specified in the post.
Funding details
Qualified students may receive RA/TA support and tuition support. The post also mentions opportunities for IC tapeout, publications, and collaborative research.
What's required
Applicants should have a background in Electrical/Computer Engineering, Microelectronics, VLSI, IC Design, or related fields. Preferred skills include Cadence Virtuoso/Spectre, analog/mixed-signal IC design, CMOS/VLSI, Verilog/SystemVerilog, FPGA/ASIC, Python/MATLAB, machine learning, or biosensors.
How to apply
Email your CV, transcripts, research interests, and relevant projects/publications to [email protected]. Use the subject line: LastName – PhD Application – Spring/Fall 2027.
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