Research Fellow, Computational materials modelling
Machine learning and molecular simulation for chemical separation (e.g., CO2 capture, hydrocarbon separation, solvent recovery) in polymer membranes and porous materials (e.g., metal-organic frameworks, covalent-organic frameworks).
The candidates should have a doctorate degree in chemical engineering, chemistry or physics, strong background and experience in molecular simulation and/or machine learning. The candidates should be highly-motivated with passion for creativity and independence.
Only shortlisted candidates will be contacted.
Location: Kent Ridge Campus
Organization: College of Design and Engineering
Department: Chemical and Biomolecular Engineering
Employee Referral Eligible: No
Job requisition ID: 11642