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"Research Fellow (Computational Nanoscience and Nanofluidics), ChBE"

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Research Fellow (Computational Nanoscience and Nanofluidics), ChBE

Postdoctoral Researcher

2026-05-01

Location

Kent Ridge Campus, Singapore

National University of Singapore

Type

Full-time Postdoctoral

Required Qualifications

PhD in Chemical Engineering, Materials Science, Physics, Chemistry
Quantum chemical & electronic structure methods
Molecular simulations (CP2K, VASP, LAMMPS)
Machine learning (TensorFlow, PyTorch) desirable
High-quality publications & teamwork

Research Areas

Computational Nanoscience
Nanofluidics
Permanent Electrostatics
Electronic Polarization
Interfacial Charge Effects
Clean Water & Energy Technologies
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Research Fellow (Computational Nanoscience and Nanofluidics), ChBE

Job Description

Applications are invited for a highly motivated Postdoctoral Researcher in the group of Prof. Rahul Prasanna Misra in the Department of Chemical and Biomolecular Engineering at the National University of Singapore (NUS).

The successful candidate will develop and apply advanced computational models that capture permanent electrostatics, electronic polarization, and interfacial charge effects using a combination of quantum chemical calculations, molecular simulations, and physics-informed machine learning. A key objective of this work is to bridge classical and quantum descriptions of confined and interfacial fluids, enabling predictive modelling across length and time scales.

The research will further explore how nanofluidics couples with the electronic properties of confining materials to understand and actively control transport and thermodynamic behaviour in next-generation membrane and nanofluidic systems, with the goal of advancing clean water and energy technologies.

Job Requirements

  • PhD in Chemical Engineering, Materials Science, Physics, Chemistry, or a related field
  • Experience with quantum chemical and electronic structure methods, and molecular simulation tools such as CP2K, VASP, LAMMPS, or related packages
  • Experience with machine learning or deep learning frameworks such as TensorFlow or PyTorch, particularly for physics-informed or scientific applications, is 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: 31749

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Frequently Asked Questions

🎓What qualifications are required for this Postdoctoral Researcher role at NUS?

Candidates must hold a PhD in Chemical Engineering, Materials Science, Physics, Chemistry, or related fields. A strong track record of high-quality publications and ability to work independently or in teams is essential. Explore more postdoc positions for similar requirements.

💻What technical skills and tools are needed for Computational Nanoscience research?

Essential experience includes quantum chemical calculations and electronic structure methods, plus molecular simulations using tools like CP2K, VASP, or LAMMPS. Desirable: machine learning with TensorFlow or PyTorch for physics-informed applications. Check research jobs for tool-specific tips.

🔬What is the research focus of this Nanofluidics Postdoc at NUS ChBE?

The role develops advanced computational models for permanent electrostatics, electronic polarization, and interfacial charge effects in confined fluids. It bridges classical/quantum scales for nanofluidic systems in clean water and energy technologies. Learn success strategies in postdoctoral research.

📝How do I apply for this Research Fellow position in Chemical Engineering?

Applications are invited via the NUS portal using Job Requisition ID 31749. Submit your CV highlighting quantum methods and publications. Employee referrals are not eligible. Visit faculty and research jobs or the official link for details.

📍What is the location and deadline for the NUS Computational Nanoscience Postdoc?

Positioned at Kent Ridge Campus, National University of Singapore. Application deadline is May 1, 2026. No visa sponsorship or salary details specified. Discover more about postdoc opportunities in Singapore and campus life.

🤖Is machine learning experience mandatory for this Nanofluidics role?

No, but highly desirable: Experience with deep learning frameworks like TensorFlow or PyTorch for physics-informed machine learning in nanofluidics. Core requirements prioritize quantum chemical and molecular simulation expertise.

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