Master: Gain calibration for ciDAC-based ADC

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student project

Your mission:
MSIC Lab is heavily investigating a compact and energy-efficient ADC architecture called ciDAC-based ADCs. This ADC architecture is relatively new and unexplored. And, one of the key challenges is the need for calibration methods to adjust the ciDAC gain auto-magically. We will mainly explore a hybrid ADC architecture using a capacitor-array-based DAC and the ciDAC, and in such, the gain calibration can be achieved while using the CDAC’s LSB as the reference. This method will incorporate a gain error detection from the ADC measurements and we plan to use the information in feedback to adjust the DAC gain. Having this feature will greatly boost the robustness of the architecture, whereas the conventional method has been to hand-trim the gains after the fabrication.
Main duties and responsibilities include :
Develop a novel ciDAC gain calibration method for a ciDAC-based ADC and carry it from theory to integrated circuits implementation
  • Propose and implement a novel gain calibration method
  • Design a single-channel ciDAC-based ADC and see through the tapeout
Your profile:
  • Strong desire to learn about ADC design
  • Excellent knowledge of the following topics:
    • electronic devices
    • circuit theory
    • noise theory
    • CMOS logic design
    • analog circuits design
    • integrated circuits design flow:
      analog design, digital synthesis, layout, place and route…
  • Necessary skills:
    • Fluency in using Cadence Virtuoso Suite
    • Fluency in using SPICE simulators (HSPICE, FineSim, AFS, etc.)
    • Fluency in running simulations on the Linux terminal 
  • Preferred skills
    • Fluency in scripting with Python
    • Fluency in using PCB design suite (Altium)

We offer :

  • Opportunity to be included as a leading author for 1st-tier publication
  • A multidisciplinary environment
  • Excellent working conditions
  • Laboratory based in Neuchâtel campus
Assistant to the project:
Chanho Kye
 
Preferred start date :
Fall semester, 2022
 
Duration :
1 semester
 
Contact :
Candidates must send their application to Prof. Kyojin Choo