[Already Taken] Multi Sampler 16 bit ADC for Motor Angle Sensing in Robotics and Automotive Motor Control (project with Infineon)

Accurate and low‑latency electrical angle estimation is critical for high‑performance motor control in robots and automotive drivetrains. Resolver, inductive, or magnetic encoders typically provide differential sine/cosine signals that must be digitized synchronously and with high dynamic range to achieve tight torque and position control.

Achieving 16‑bit resolution across temperature and supply variation, while sampling multiple channels at the same instant and meeting strict latency/jitter budgets, places demanding requirements on the Analog to digital converter accuracy. Selecting and realizing an ADC architecture that balances precision, latency, power, and area—while enabling tightly matched multi‑channel sampling—is the central challenge of this project.

Assignment

In this project, you will develop a multi‑sampler 16‑bit analog‑to‑digital converter tailored for motor angle sensor inputs (sin/cos) for robotics and automotive motor control. The work will span high‑level behavioral modeling to drive an architectural choice, circuit dimensioning, full custom design, and layout, with a tapeout as the end goal. The design will be implemented in 28‑nm CMOS technology. The student will be supported with a salary for up to 12 months and will carry out the project at Infineon’s design center in Villach, Austria, under the co‑supervision of an industry expert in the Data‑Converters Team.

About Infineon

Infineon Technologies AG is a leading global semiconductor company headquartered in Germany, with approximately 60,000 employees. It is the global market leader in power semiconductors and automotive semiconductors, with strong positions in microcontrollers, sensors, and security/IoT.

Requirements

MSc EE‑ME student.
You should be comfortable with analog mixed‑signal IC design and the Cadence analog environment. Familiarity with ADC architectures and high‑level modeling (Python language preference). Curiosity, hard work, and creativity are always needed. If you are interested, contact Dr. Dante Muratore via email with a motivation letter and your (tentative) IEP.

Required courses: Nyquist-Rate Data Converters

Preferred courses: Oversampled Data Converters

Contact

Last modified: 2026-05-29