**Job Description**
This Postdoc position focuses on developing efficient and reliable digital Computation-in-Memory (CIM)-based AI accelerator designs for future neuromorphic accelerators. The role is part of the CONVOLVE, a multi-partner European project, addressing design and technology challenges, application mapping, and reliability issues in CIM for energy-efficient AI applications.
**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
• Any other related field relevant to the research
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