Research Fellow in Computational Nanocatalysis, ChBE

National University of Singapore; Singapore; In loco; SGD 60.000 - 90.000; Tempo pieno

Descrizione del lavoro

National University of Singapore invites applications for a Postdoctoral Research Fellow in Computational Nanocatalysis within the Chemical and Biomolecular Engineering department at Kent Ridge Campus. The role focuses on computational design of nanocomposite catalysts using DFT and ML, with flexibility on start date and potential extension.

The successful candidate will work with Prof. Sergey Kozlov, contributing to simulations of hydrogenation processes on alloy nanoparticles and metal-oxide

Competenze

• Ph.D. in Chemical Engineering, Chemistry, Physics or Materials Science.
• Experience in DFT studies of heterogeneous catalysts, electrochemistry, or nanostructured materials using VASP.
• Ability to collaborate with experimental colleagues and communicate in English.

Mansioni

• Conduct computational design of advanced nanocatalysts using DFT and ML.
• Collaborate with experimental colleagues on project goals.
• Publish results with clear writing in English.

Conoscenze

DFT simulations

Python

Machine Learning

English writing

Scientific writing

Formazione

Ph.D. in Chemical Engineering, Chemistry, Physics or Materials Science

Strumenti

VASP

Descrizione del lavoro

Research Fellow in Computational Nanocatalysis, ChBE

University-Level Unit: College of Design and Engineering Faculty/Department-Level Unit: Chemical and Biomolecular Engineering Employee Category: Research Staff Location: Kent Ridge Campus Posted On: 15/10/2026

Job Description

Postdoctoral Research Fellow position in the area of Computational Chemistry is available at the Department of Chemical and Biomolecular Engineering at the National University of Singapore. The position is open for 1 year with a flexible starting date and could be extended depending on mutual interest.

The applicant will work with Prof. Sergey Kozlov in the Computational Nanocatalysis group, which focuses on the computational design of advanced nanocomposite catalysts using density functional theory (DFT) and machine learning (ML). The research will focus on advanced simulations of selective hydrogenation catalytic processes on alloy nanoparticles and/or metal-oxide interfaces.

Job Requirements

• Ph.D. in Chemical Engineering, Chemistry, Physics or Material Science
• Experience in DFT studies of heterogeneous catalysts, electrochemistry, or nanostructured materials using VASP
• The ability to creatively contribute to collaborations with experimental colleagues.
• Excellent writing skills and fluency in English.
• Knowledge of shell scripting, Python and Machine Learning.

The application should contain the following documents combined in one pdf file:

• Cover Letter
• Curriculum Vitae
• Publication List
• Contact details of at least 4 references (including PhD supervisor) willing to provide recommendation letters.

Req ID: 33781