PostDoc

**Job Description**
This PostDoc position focuses on addressing design, technology, application mapping, and reliability challenges in Computation-in-Memory (CIM) for energy-efficient artificial intelligence (AI) applications. The role involves designing efficient and reliable digital CIM-based AI accelerator architectures for future neuromorphic systems, developing system architectures, efficient mapping schemes for AI workloads, identifying reliability failure mechanisms, and creating solutions. The position is part of CONVOLVE, a multi-partner European project.

**Skills & Abilities**
• Good understanding of digital circuit design
• Basic understanding of defects, faults, and test solutions for electronic systems (a plus)
• Basic understanding of AI and its hardware implementations (a plus)
• An affinity with teaching and guiding students
• The ability to work in a team and take initiatives

**Qualifications**
Required Degree(s) in:
• Electrical Engineering
• Computer Engineering

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