The Research Fellow will work closely with the Principal Investigator, Dr. WU Zhe, on the research project of machine learning in high-throughput experiments of photoelectrocatalysis
The Research Fellow will help to develop machine learning models using high-throughput experiment data and carry out simulation study of reactor design for process development.
Qualifications
For Research Fellow Position:
A PhD degree in a relevant area, e.g., Chemical Engineering, Chemistry, Control Engineering, Computer Science;
Good publication record;
Experienced in machine learning, optimization and programming languages (e.g., python, Matlab, C++, etc)
Any experience with
highthroughput experimentation,
photoelectrocatalysis,
machine learning in material discovery, and
machine learning for molecule structure and chemical properties, is a plus
This position is available from January 2023
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More Information
Location: Kent Ridge Campus Organization: College of Design and Engineering Department : Chemical and Biomolecular Engineering Employee Referral Eligible: No Job requisition ID : 18234
Times Higher Education
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