Research Fellow (Machine Learning in Photoelectrocatalysis)

Job Description

• 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

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 presence is required.

Taking into consideration the health and well-being of our staff and students and to better protect everyone in the campus, applicants are strongly encouraged to have themselves 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 : 18234