Postdoctoral Scholar in RF Neuromorphic Systems, Das Lab

About the role

The Department of Engineering Science and Mechanics is seeking a highly motivated postdoctoral researcher to work on the development of radio-frequency neuromorphic hardware for next-generation sensing, communication, and signal-processing applications. The project will focus on the design, fabrication, and experimental demonstration of neuromorphic circuits and devices capable of processing RF and analog signals directly in the hardware domain.

Responsibilities

• Contribute to the design and implementation of RF circuits, including oscillators, amplifiers, mixers, filters, detectors, and nonlinear or adaptive circuit architectures.
• Participate in device and circuit fabrication, integration, packaging, and high-frequency electrical characterization.

Requirements

• Ph.D. in electrical engineering, electronics engineering, applied physics, materials science, or a closely related field.
• Strong experience in RF or microwave circuit design, electromagnetic and circuit simulation, device or circuit fabrication, and RF measurement techniques.

Qualifications

• Experience connecting emerging electronic devices with RF circuit concepts, analog computing, in-memory computing, or neuromorphic signal processing.
• Familiarity with tools such as Cadence, ADS, HFSS, COMSOL, or equivalent platforms.
• Experience with vector network analyzers, spectrum analyzers, signal generators, and probe-station measurements.

Preferred skills

• RF and microwave integrated-circuit design
• Analog and mixed-signal circuit design
• Neuromorphic or bio-inspired hardware
• Emerging electronic devices and heterogeneous integration
• Semiconductor microfabrication and cleanroom processing
• RF device modeling, packaging, and high-frequency characterization
• Adaptive RF systems, edge sensing, or signal classification

Work environment

The postdoctoral researcher will work in a multidisciplinary environment involving device physicists, circuit designers, materials researchers, and system engineers. The position will provide opportunities to lead high-impact research, mentor graduate students, collaborate with academic and industrial partners, and publish in leading journals and conferences.

Application materials

• Curriculum vitae
• Brief statement of research experience and interests
• Representative publications
• Contact information for references

This is a term position; length of the term will be discussed during the interview process. Continuation past the term length discussed will be based on university need, performance, and/or availability of funding.