Design and Characterization of ISFET-Based Test Chips for Neural Interfaces

ISFET-based sensing systems for neural interfaces require stable operation in electrochemical environments. These devices transduce ionic signals into electrical readouts and must achieve high sensitivity, low noise, and long-term stability when interfaced with biological media.

However, environmental fluctuations and material effects can introduce drift, noise, and performance variability. Changes in temperature, electrolyte composition, surface chemistry, and device aging may degrade signal fidelity, making careful characterization and validation essential for neural sensing applications.

This internship focuses on the design, testing, and characterization of a custom ISFET-based test chip for neural interfaces. The student will contribute to the design of test structures and measurement setups, define testing protocols, and perform electrical and electrochemical characterization, including in-vitro experiments. Key metrics such as sensitivity, noise, drift, and long-term stability will be evaluated and linked to design choices and application requirements.

Required skills:

• Background in analog/mixed-signal circuits
• Familiarity with IC design or laboratory measurement tools
• Experience or interest in PCB design
• Experience or interest in FPGA-based systems
• Interest in bioelectronics and neural interfaces