Job Description

This position will involve the development of automated materials synthesis platforms integrated with machine learning for accelerated materials discovery and development using wet chemical materials synthesis (of metallic nanoparticles, colloidal perovskites etc.).

Qualifications

The position requires a candidate with a Bachelor's degree in chemical engineering. The candidate should ideally have hands-on experience in some or all of the following research areas: (i) microfluidic device fabrication, (ii) multiphase fluid flows (gas-liquid/liquid/liquid) in microfluidic channels, (iii) laboratory automation (eg. LabView), and (iv) some understanding and exposure to machine learning.

More Information

Location: Kent Ridge Campus
Organization: Engineering
Department : Chemical And Biomolecular Engineering