Job Description
Use computational techniques to explore gas separation, hydrocarbon separation and/or solvent recovery in MOFs and/or polymer membranes.
Qualifications
The modelling work will be closely collaborated with ongoing experimental work in Singapore. Applications are sought from recently graduated PhD students, with high motivation, drive and passion for creativity and independence. Applicants are expected to have strong background and experience in molecular simulation/machine learning/density-function theory calculations.
Only shortlisted candidates will be contacted.
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 Engineerin
Department : Chemical and Biomolecular Engineering
Employee Referral Eligible: No
Job requisition ID : 17584
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