Research Engineer (SRAM Circuits & Architectures and IT Infrastructure)

Interested applicants are invited to apply directly at the NUS Career Portal.

Your application will be processed only if you apply via NUS Career Portal.

We regret that only shortlisted candidates will be notified.

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.