The School of Chemistry, Chemical Engineering and Biotechnology (CCEB) invites applications for the position of Research Fellow. The Research Fellow is required to spearhead a project involving advanced materials and membrane technologies, from materials synthesis, characterization, membrane fabrication, investigation of separation performances, AI-assisted analysis, and presentation of research results.

The Research Fellow will take on a significant role in performing experimental work, data analysis, simulation studies, drafting reports and publications, and supporting project-related administrative duties. The candidate is also expected to contribute to the training of graduate and undergraduate students, coordination of collaborations, and presentation of research progress.

Key Responsibilities:

• Conduct literature review related to materials development, membrane technology, electrodialysis, AI-assisted analysis, and simulation studies.

• Design, synthesize, fabricate, and characterize functional materials and membranes.

• Perform separation experiments and evaluate membrane performance.

• Carry out data analysis, AI-assisted analysis, modelling, and/or simulation studies.

• Draft reports and scientific publications.

• Train graduate and undergraduate students.

• Administrative duties such as purchase of chemicals and consumables, coordination of collaborations, and presentations of research progress.

• Obtain quotations to purchase chemicals, consumables, and equipment accessories that cost <$6k.

• Draft reports to purchase equipment/materials/consumables that cost >$6k.

Job Requirements:

• Ph.D. in Chemistry, Materials Science, Chemical Engineering, Environmental Engineering, or a related field.

• Experience in materials synthesis, characterization, and membrane fabrication.

• Knowledge in membrane science, electrodialysis, electrochemical separation, ion transport, or related separation processes.

• Familiarity with characterization techniques such as SEM, TEM, XRD, FTIR, XPS, BET analysis, zeta potential, contact angle measurement, electrochemical analysis, ion chromatography, ICP-OES/ICP-MS, etc.

• Experience or interest in AI-assisted analysis, data-driven materials development, computational modelling, and/or simulation studies.

• Proficient in Microsoft Office suite and other scientific/data processing software such as Origin, ImageJ, or related software.

• Strong research/publication track record and good written and oral communication skills.

We regret to inform that only shortlisted candidates will be notified.