Research Fellow (IC Design and academic)

Nanyang Technological University · Singapore

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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 1,000 graduate students it is one of the largest EEE schools in the world and ranks 10th in the field of Electrical & Electronic Engineering in the 2024 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:

This role involves working on innovative solutions in the field of RF power management IC. The key responsibilities of this position include:

• Design, implement and test RF power management ICs or other analog/mixed signal/RF ICs. Development cycle including circuit design, simulation, modeling, layout, verification and measurements.

• Develop scripts and algorithms for analog IC design

• Prepare research papers/reports/technology disclosures, etc

• Assist the school in various teaching activities, including instructing or supervision of labs and tutorials

Job Requirements:

• Ph.D./M.Eng/MSc in Electrical Engineering, Computer Science, Statistics, or other related fields.  Entry Level candidates are welcome to apply

• At least 2 years of relevant experiences in IC design/Electronics 

• Familiar with Analog/Power Management/RF/ADC/DAC IC design

• Proficiency in Cadence

• Proficiency in Python and Matlab

• Experience in implementing algorithms for machine learning

• Good written and oral communication skills

We regret to inform you that only shortlisted candidates will be notified

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