PostDoc on Digital CIM-based AI Accelerator Design

**Job Description**
This PostDoc position focuses on efficient and reliable digital Computation-in-Memory (CIM) based AI accelerator design for future neuromorphic systems. The research addresses design and technology challenges, application mapping, and reliability issues in CIM for energy-efficient artificial intelligence applications. This role is part of CONVOLVE, a multi-partner European project involving academic and industrial partners.

**Skills & Abilities**
• Good understanding of digital circuit design
• Basic understanding of defects, faults, and test solutions for electronic systems (plus)
• Basic understanding of AI and its hardware implementations (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
• Any other related field relevant to the research

**Experience**
Other:
• Completed a relevant PhD degree

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