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Job Description

We are looking for a Research Engineer for the Activity-Suppressed in-Memory Compute Layers with Highly-Reconfigurable Dataflow for 3D Energy-Efficient AI Systems project led by Professor Massimo Alioto, at the Department of Electrical and Computer Engineering, National University of Singapore (NUS).

The selected candidate is expected to:

• Explore circuit-architecture via circuit-behavioural loop modelling
• Work on SRAM bank exploration and native energy optimization, reconfigurable banks for storage / compute / communications
• Develop functional and data flow flexibility enablement from chip to 3D system
• In-memory compute layer integration and demonstration
• The candidate is also expected to manage project-related correspondence, relationships with project stakeholders, collaborators, and external partners
• organize industry workshops to expand research
• Assisting team in sourcing, purchasing, and coordinating goods and services in accordance with NUS procurement policies.

The appointment can commence immediately with a 1-year contract, with prospect of extension. Salary will be commensurate with qualifications and experience.

Qualifications

The candidate must possess:
• a Bachelor/Master's degree in either Electrical Engineering or strictly related (e.g., Computer, Electronics, Communication, or Information Engineering).
• Knowledge on circuit-architecture and design and SRAM in-memory computing circuits and architectures
• Strong attention to detail and accuracy in documentation.
• Ability to work independently and collaboratively in a team environment.
• Good communication and interpersonal skills.
• Open to fixed term contract.