Research Fellow in Computational Catalysis
Applicants will need to include a Cover Letter and CV with publication list.
Applications will be reviewed on a rolling basis, with final submission 20 April 2025.
Salary: S$6,000 – S$12,000, Monthly dependent on experience, plus performance related bonus
Contract: Full Time, Positions will be initially for 2 years fixed term (subject to 6-month probation) with potential for extension.
Location: Singapore
Imperial Global Singapore, Imperial College London’s formal research and innovation entity in Singapore, is seeking an experienced senior postdoctoral research assistant as an Assistant Programme Director for the NH3-SOFC research programme on development of direct ammonia solid oxide fuel cells. This programme represents a new and timely collaboration between the United Kingdom and Singapore and will be based at Imperial Global Singapore (IGS) offices, located on the campus of the National University of Singapore. This senior role will be responsible for leading the coordination of the NH3-SOFC research team, working across materials science, device engineering, electrochemistry, and in collaboration with the Programme Co-Directors based at both IGS and Nanyang Technological University.
The programme aims to develop solid oxide fuel cells that can effectively and efficiently use ammonia directly as a fuel source while maintaining high performance and durability. To overcome challenges related to material compatibility, anode degradation due to nitrification, slow chemical/electrochemical processes, and performance loss, the research will explore new materials, catalysts, and cell designs. There will be two cell types of interest in this programme: i) oxygen-ion and ii) proton-conducting ceramic membrane electrolytes. The project will span the length scales, from materials discovery, including with computational approaches, through mechanical properties and microstructure optimisation to incorporation into short stacks for durability testing.
This post will focus on computational catalysis involving traditional density functional theory (DFT) methods integrated with data-driven artificial intelligence techniques. Research may encompass the development and application of machine learning force fields, high-throughput screening of catalytic materials, and the optimisation of reaction pathways. This role also includes using advanced modelling approaches for property prediction, exploring defect and interface effects, and designing catalysts for energy conversion and storage applications. The successful candidate will work closely with the synthesis and characterisation teams at both IGS and NTU to optimise electrode, and ultimately device, performance.
Informal enquiries are greatly welcome. You are encouraged to send an e-mail to Professor Stephen Skinner [email protected] or Professor Aron Walsh [email protected]
Questions about the recruitment process, should go to Paige Noyce, Associate Director [email protected].
Positions are based in Singapore at Imperial Global Singapore at the National Research Foundations Campus for Research Excellence and Technological Enterprise (CREATE) located on the campus of the National University of Singapore.