Research Assistant (m/f/d) Mixed-Signal Integrated Circuit Designer for AI Accelerators
Dein Job
Objective:
Design, characterization and application of novel ultra energy-efficient electronic integrated analog computing circuits in 22 nm FD-SOI CMOS technology within the BMBF-funded project SUSTAINET. The circuits will be the core of a new neural ASIC for signal equalization, crosstalk compensation and low-latency signal regeneration in transceivers for optical transmission links. The major advantage of analog neural circuits over conventional digital signal processing is the potential of an order of magnitude higher energy efficiency.
Key-Words:
- Analog & mixed-signal circuit design in cutting [1]edge FD-SOI CMOS technology
- Ultra energy-efficient circuits for artificial neural network (ANN) inference
- Optical data link equalization with ANNs
We offer:
- An inspiring and friendly research environment
- A well-organized research team at the institute
- The freedom to contribute and implement your own ideas
- The opportunity to write a doctoral thesis and get a Ph.D. degree
- A fully paid position in accordance with the collective agreement for the public service of the federal states (EG 13 TV-L / 100%)
Dein Profil
Your profile:
- Strong background in analog or mixed-signal circuits
- Ability to dive deep into integrated circuit problems
- Fluent in English, both spoken and written
- Background in AI and ANNs is a plus
We expect you to:
- Design complex analog and mixed-signal integrated circuits
- Apply the needed IC design diligence, precision and accuracy
- Integrate well into our team and contribute your talents to the whole institute
- Publish your results at conferences and in journals
- Be curious about ANN applications in optical fiber communications systems
Please send your application in a single pdf file. If you have not the possibility to send your application via E-Mail, please use the postage address of our institute. Please note that we will not return application documents. Therefore, please do not submit any original documents, as all documents will be destroyed after the procedure has been completed in accordance with data protection regulations.
The University of Stuttgart would like to increase the proportion of women. Women are therefore expressly encouraged to apply. Full-time positions are generally divisible. Severely challenged persons will be given preference in case of equal qualifications. Recruitment is carried out by the Central Administration.
Information on the collection of personal data in accordance with Article 13 of the GDPR can be found via the following link: www.uni-stuttgart.de/en/privacy-notice/job-application.
Stellenmerkmale
Dein Beschäftigungsumfang
Vollzeit (befristet)
Dein Gehalt
E13
Dein Arbeitsplatz:
vor Ort
Dein Büro:
Raum Stuttgart