Elite Positions in Advanced AI Chip Design
(TSMC 16 nm & 7 nm)
MACHT-AI invites exceptional candidates to join a world-class research environment focused on advanced FinFET technologies and next-generation AI chips.
This opportunity is designed for individuals who seek excellence, real silicon impact, and tapeout experience in state-of-the-art TSMC 16 nm and 7 nm technology nodes.
Successful candidates will contribute to cutting-edge AI processor architectures, neuromorphic computing, and energy-efficient AI systems at the forefront of European and global competition.
Open Positions (Highly Selective)
We are recruiting top-tier candidates for:
- Ph.D. positions
- Postdoctoral Researcher positions
- Student Assistant (HiWi) positions (Bachelor’s and Master’s level)
Only applicants with outstanding academic performance, strong technical depth, and clear research potential will be considered.
Candidate Profile
We seek individuals with exceptional expertise in one or more of the following areas:
- Digital IC design, with advanced proficiency in Verilog / RTL
- Physical design and layout for complex digital systems
- Analog and mixed-signal IC design, including layout and verification
- Prior silicon tape-out experience (strongly preferred)
A strong foundation in AI algorithms and deep learning is an advantage, though hardware excellence remains a key selection criterion.
Core Research Areas
- Highly customized RISC-V processors for ultra-low-power edge AI
- Digital and Analog SRAM-based in-memory computing for AI acceleration
- Chiplet-based AI chips with advanced 2.5D and 3D integration
- Reliability-aware circuit design
- Cryogenic computing
- Hardware security and privacy-preserving computation for AI
Why MACHT-AI?
Joining MACHT-AI means entering a high-performance, internationally visible research ecosystem with:
- Access to advanced TSMC process nodes (16nm and 7nm FinFET)
- Real tape-out and silicon validation opportunities
- Industry-grade EDA flows and fabrication partners
- Close collaboration with leading global academia
This is not a classical recruitment effort. It is a selective call for high-impact talent ready to shape the future of AI chip technology in Europe and beyond.
How to Apply
Interested candidates should submit a single consolidated PDF by email to Prof. Amrouch, Director of MACHT-AI, including:
- Curriculum Vitae (CV)
- A concise summary of prior technical experience and core skills
- A one-page statement outlining your research vision and ambitions
Applications that demonstrate exceptional technical depth, originality, and clear research potential will be prioritized.