Associate Professor in Integrated Circuits for Edge Computing

Job summary

The position involves research and teaching in integrated circuits for edge computing, focusing on energy-efficient analog and mixed-signal CMOS design, open-source chip design methodologies, and hardware accelerators for edge AI. The successful candidate is expected to develop an independent research profile, contribute to teaching, and attract external funding.

Qualifications

• PhD in Electrical Engineering or a related field
• Established independent research record with international publications
• Documented teaching qualifications and ability to contribute to curriculum development
• Experience in teaching and supervising IC design, including analog/mixed-signal CMOS and hardware for edge AI
• Experience or a clear plan for attracting external research funding

Responsibilities

• Conduct research in integrated circuit design for edge computing
• Teach and supervise Bachelor and Master level courses in areas such as analog and CMOS circuit design, mixed-signal systems, and open-source chip-design flows
• Supervise theses and international training courses in edge and open-source chip design

Skills

• Expertise in analog and mixed-signal CMOS IC design, open-source chip design methodologies, and hardware accelerators for edge AI
• Proficiency in design and validation flow, including layout, FPGA, and ASIC prototyping

Education

• PhD in Electrical Engineering or a related field is required.

Tools

• Familiarity with open-source EDA tools and design automation is preferred.