Job Description

Applications are sought for a highly motivated postdoctoral researcher in the group of Prof. Rahul Prasanna Misra in the Department of Chemical and Biomolecular Engineering at NUS. 

The confinement of fluids within nanomaterials such as graphene nanocapillaries and carbon nanotubes leads to profound changes in their structure, thermodynamics and transport behaviour. These nanoscale phenomena offer important opportunities for next generation membrane technologies that are essential for clean water and sustainable energy applications. However, a key challenge remains: how can we translate atomistic interactions into predictive macroscopic observables such as water permeability, ion selectivity and transport coefficients?

The successful candidate will develop computational models using molecular simulations and physics inspired machine learning to understand how pore characteristics including size, shape and electronic properties influence fluid transport and thermodynamic behaviour. This work will support the development of predictive tools for nanofluidic technologies relevant to clean water and energy systems.

Job Requirements

•    PhD in Chemical Engineering, Materials Science, Physics, Chemistry or a related discipline
•    Experience with quantum chemistry or molecular dynamics software such as CP2K, VASP or LAMMPS
•    Experience with deep learning frameworks such as TensorFlow or PyTorch, especially for neural networks or physics informed models, is highly desirable
•    Experience with continuum scale modelling or theoretical framework development is highly desirable
•    Track record of high quality publications, and the ability to work independently as well as in a team environment

More Information

Location: Kent Ridge Campus

Organization: College of Design and Engineering

Department : Chemical and Biomolecular Engineering

Employee Referral Eligible: No

Job requisition ID : 31075