Research Fellow (Machine Learning in Photoelectrocatalysis)

Updated: 27 days ago
Job Type: FullTime
Deadline: 04 Feb 2023

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


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