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National University of Singapore

Research Fellow (Machine Learning in Chemical and Control Engineering)

Early Applicant
  • 16 days ago
  • Be among the first 50 applicants

Job Description

Job Description


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

Job Requirements


For Research Fellow Position:
. 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)

Department : Chemical and Biomolecular Engineering

Employee Referral Eligible: No

Job requisition ID : 26931

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Date Posted: 08/11/2024

Job ID: 99650027

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About Company

The National University of Singapore (NUS) is a national research university in Queenstown, Singapore. Founded in 1905 as the Straits Settlements and Federated Malay States Government Medical School, NUS has consistently been considered as being one of the top and most prestigious academic institutions in the world as well as in the Asia-Pacific itself. It plays a key role in the further development of modern technology and science, offering a global approach to education and research, with a focus on expertise and perspectives of Asia. In 2022, the QS World University Rankings ranked NUS 11th in the world and first in Asia.

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