PhD in Analog and Mixed Signal IC Design
Develop innovative computation-in-memory solutions for AI hardware platforms using advanced CMOS technologies.
Best for:Best for electrical engineering graduates with a strong background in mixed-signal circuit design and an interest in AI hardware.
Overview
The Fraunhofer Institute for Photonic Microsystems (IPMS) is seeking a highly motivated doctoral student to join their research team in Dresden. The project focuses on developing energy-efficient AI hardware platforms by integrating ferroelectric non-volatile memory into resistive crossbar structures. The successful candidate will work on advanced CMOS technology nodes to design and verify innovative computation-in-memory (CIM) solutions. This position offers the opportunity to collaborate with leading European partners and contribute to cutting-edge research in machine learning and computer vision.
What you'll do
- Design analog and mixed-signal circuits including ADC, DAC, PLL, VCO, and CIM arrays.
- Implement and verify circuit layouts through simulation.
- Utilize advanced CMOS technology nodes such as 28nm and 22nm.
- Automate design and layout processes using Skill programming.
- Develop behavioral models for circuit verification.
- Contribute to mixed-signal integration and verification within system-on-chip architectures.
- Summarize research results and participate in team discussions.
- Communicate findings to project partners and customers.
- Present research at international conferences and publish in peer-reviewed journals.
Requirements
Degree required: Master's or Diploma degree in Electrical Engineering, Electronics, Communication Engineering, Information Technology, or a comparable field.
Degree offered: PhD
Language: English (good written and spoken proficiency).
Instruction: English
Publications: High-quality scientific publications in peer-reviewed journals are expected.
- Fundamental understanding of mixed-signal circuit architecture.
- Strong analytical and solution-oriented thinking skills.
- Ability to adapt quickly to new technical and scientific contexts.
- Proficiency in written and spoken English.
- Open to all nationalities.
- Must hold a completed scientific university degree (Master's or Diploma).
Funding & terms
How to apply
Deadline: 2026-09-09
Applications must be submitted through the official Fraunhofer online portal. Interested candidates should follow the provided link to the talent community to upload their documents.
- CV
- Cover letter
- Academic transcripts
Contact
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