Job Description

We are looking for a Research Fellow as the ECE Department of NUS is building new research programs that integrate machine learning analytics and advanced electronic device modelling. 

The selected incumbent is expected to

• Develop techniques for defect prediction and diagnostic. 
• Work on developing multi-level machine-learning models that may include semiconductor TCAD, compact circuit model, Ab-Initio simulations, quantum transport, and advanced data analytics. 
• Work with colleagues from materials, data scientists, and process technologists.
• The research involves building a digital twin of advanced semiconductor technology and investigating the application of data analytics for predictive fault detection.
• Multi-level Model development (Materials, TCAD, and/or Circuit Compact and Systems Models).
• Implement and test machine learning algorithms customized for the problem.

Qualifications

• Ph.D degree in Electrical Engineering, from a recognised University/Institute. 
• Excellent written and spoken communication especially in writing and presentation skills. 
• Possess excellent communication and interpersonal skills to work with various stakeholders.
• Meticulous, able to work well under pressure and commitment to meet tight deadlines
• Open to fixed-term contract.
• Salary will be commensurate with qualifications and experience.

Interested applicants may also send their motivation letter, curriculum vitae, and publication list via email to Prof. Aaron Thean (Aaron.Thean@nus.edu.sg)

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Electrical And Computer Engineering
Employee Referral Eligible: No