PhD Student/ Research Assistant (f/m/d) in Design optimization for printed neuromorphic computing and machine learning classifiers

together unique

Institute for Computer Engineering (ITEC)

Printed electronics (PE) based on additive manufacturing processes holds promise of meeting cost and conformity needs of application domains which cannot be targeted by conventional silicon VLSI technologies. The notion of printable electronics encompasses any printing technologies or processes to create electronic devices, circuits and systems. Printed electronics will complement rather than compete with silicon-based electronics. Due to constraints of PE and requirements of target applications, realization of machine learning classifiers in PE is a promising alternative to conventional processor architectures. The goal of this project is to perform design space exploration and hardware-aware automated machine (AutoML) to optimize the hardware design of machine learning classifiers for printed electronics.

as soon as possible

The remuneration occurs on the basis of the wage agreement of the civil service in TV-L E13, depending on the fulfillment of professional and personal requirements.

limited to four years

January 31, 2023

For further information, please contact Prof. Mehdi Tahoori, email: mehdi.tahoori@kit.edu.

Please send your application including a cover letter, your CV, MS and BS transcripts, and all certificates/referees in electronic form to: cdnc@itec.kit.edu

vacancy number: 2177/2022

We prefer to balance the number of employees (f/m/d). Therefore, we kindly ask female applicants to apply for this job.

Recognized severely disabled persons will be preferred if they are equally qualified.