Research Fellow, Process Control and Machine Learning

23 Jun 2022
End of advertisement period
21 Jul 2022
Contract Type
Full Time

Job Description

  • The Research Fellow will work closely with the Principal Investigator,  Dr. WU Zhe, on several research projects of advanced process control, optimization of chemical and manufacturing processes
  • The Research Fellow will help to develop both theoretical and simulation study of machine-learning-based control and optimization algorithms to chemical processes.


  • A PhD degree in a relevant area, e.g., Control Engineering, Chemical Engineering, Automation, Systems Engineering, Computer Science or Applied Mathematics;
  • Good publication record; 
  • Experienced in advanced process control, machine learning, and programming languages (e.g., python, Matlab, C++, etc)

Covid-19 Message

At NUS, the health and safety of our staff and students are one of our utmost priorities, and COVID-vaccination supports our commitment to ensure the safety of our community and to make NUS as safe and welcoming as possible. Many of our roles require a significant amount of physical interactions with students/staff/public members. Even for job roles that may be performed remotely, there will be instances where on-campus presences are required. 

In accordance with Singapore's legal requirements, unvaccinated workers will not be able to work on the NUS premises with effect from 15 January 2022. As such, job applicants will need to be fully COVID-19 vaccinated to secure successful employment with NUS.

More Information

Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department : Chemical and Biomolecular Engineering
Employee Referral Eligible: No
Job requisition ID : 13910

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