PhD Position in Analog and Mixed-Signal IC Design
Join a leading research team to develop high-efficiency AI hardware platforms using innovative memory technologies.
Best for:Best for electrical engineering graduates with a strong foundation in analog/mixed-signal circuit design and an interest in neuromorphic computing.
Overview
The Fraunhofer Institute for Photonic Microsystems (IPMS) is seeking a motivated doctoral candidate to contribute to the development of next-generation AI hardware. The project focuses on creating energy-efficient, high-speed AI accelerators by integrating non-volatile ferroelectric memory into resistive crossbar structures. You will work within an international team to design and verify innovative Computation-in-Memory (CIM) solutions using advanced CMOS technology nodes. This role offers the opportunity to conduct cutting-edge research while collaborating with prominent academic and industrial partners.
What you'll do
- Design analog and mixed-signal circuits including ADC, DAC, PLL, VCO, and CIM arrays.
- Implement and verify circuit layouts through advanced simulation tools.
- Utilize advanced CMOS technology nodes such as 22nm and 28nm.
- Automate design and layout processes using Skill programming.
- Develop behavioral models for comprehensive circuit verification.
- Contribute to the integration and verification of System-on-Chips (SoC).
- Present research findings at international conferences and publish in peer-reviewed journals.
Requirements
Degree required: Master's or Diploma in Electrical Engineering, Electronics, Telecommunications, or Information Technology.
Degree offered: PhD
Language: English (professional proficiency).
Instruction: English
Publications: High motivation to produce high-quality peer-reviewed scientific publications.
- Solid understanding of mixed-signal circuit architectures.
- Strong analytical and problem-solving capabilities.
- Ability to work effectively in an international team environment.
- Proficiency in English, both written and spoken.
- Must hold a recognized Master's or Diploma degree in a relevant engineering field.
Funding & terms
How to apply
Applications must be submitted via the Fraunhofer online portal. Please ensure all required documents are uploaded to the talent community platform.
- CV
- Academic transcripts
- Cover letter
Contact
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