PhD Student/ Research Assistant (f/m/d) in Neuromorphic computing for printed electronics
Institut für Technische Informatik (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. The objective of this research is how to perform accurate, reliable and energy-efficient classification computing to meet target applications’ requirements within the constraints of additive printed manufacturing. The goal of this project is to develop (analog and mixed signal) neuromorphic computing for printed electronics. Given the constraints of printed electronics such as large feature sizes, limited integration and large delay, analog computing is well suited for PE.
as soon as possible
- The applicants should hold a university degree (Diploma or Masters) in the areas of Computer Science or Electrical Engineering and should also have strong English communication skills (both Oral and Writing).
- Suitable candidates must posses a strong willingness for research exploration, independence, self-learning, creativity, teamwork and communication skills as well as the willingness in the preparation of research proposals.
- Experience in VLSI circuit design, circuit simulation, digital design and electronic design automation (EDA) tools is necessary.
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
Application up to
September 14, 2022
Contact person in line-management
For further information, please contact Prof. Mehdi Tahoori, email: firstname.lastname@example.org.
Please send your application including a cover letter, your CV, MS and BS transcripts, and all certificates/referees in electronic form to: email@example.com
vacancy number: 2176/2022
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.