Posted 4 days ago
Research Fellow (IC Design and Academic)
AI Summary
Research Fellow designing high-speed, high-efficiency analog/RF ICs at NTU's School of Electrical and Electronic Engineering, including circuit design, simulation, layout, verification, and AI/ML-driven IC optimization, with support for teaching activities.
About this role
School of Electrical and Electronic Engineering is one of the founding Schools of the Nanyang Technological University. Built on a culture of excellence, the School is renowned for its high academic standards and research. With over 3,000 undergraduates students and 2,000 graduate students it is one of the largest EEE schools in the world and ranks 4th in the field of Electrical & Electronic Engineering in the 2025 QS World University Rankings by Subjects.
Today, the School has become one of the world’s largest engineering schools that nurtures competent engineers and researchers. Each year, the School graduates over a thousand students who are ready to take on great ambitions and challenges.
For more details, please view: https://www.ntu.edu.sg/eee
We are hiring a Research Fellow in IC design to design and realize high speed high efficiency analog/RF ICs. The Research Fellow is also expected to support teaching activities as required by the school.
Key Responsibilities:
Design and develop high‑performance, low‑power digital, mixed‑signal, RF, and analog integrated circuits (ICs). Development cycle includes circuit design, simulation, modeling, layout, and verification.
Explore and apply AI and machine learning techniques for IC design and optimization.
Develop scripts and algorithms for analog IC design
Assist the school in various teaching activities, including instructing or supervision of labs and tutorials
Job Requirements:
PhD (Research Fellow) in Electrical/Electronics Engineering, Computer Engineering, or other related fields.
At least 2 years of relevant experience in IC design/Electronics
Familiar with Analog/RF/Digital/mixed-signal IC design
Proficiency in Cadence
Proficiency in Python and Matlab
Experience in implementing algorithms for machine learning
Good written and oral communication skills
Entry Level Candidates are welcome to apply.
We regret to inform you that only shortlisted candidates will be notified
Hiring Institution: NTUSkills
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