Scientist, Structural & Functional Materials ( Institute of Materials Research & Engineering )

Job Description

JOB DESCRIPTION

We are seeking for a highly motivated Research Scientist for a recently awarded research programme to develop next-generation efficient AI frameworks for accelerated discoveries in surface science and catalysis. For this programme, we seek a passionate and committed Scientist specializing in Structural & Functional Materials to fill the following position:

Research Scientist (IMRE/A*STAR) - High-throughput fabrication and structural characterization of supported alloy / high-entropy alloy nanoparticles for catalysis.

The scientist will develop and run high-throughput experimental workflows to synthesize libraries of supported high-entropy alloy (HEA) nanoparticle catalysts and generate high-fidelity structural datasets for model validation and iterative discovery cycles.

Key responsibilities include:

• Develop and execute high-throughput fabrication workflows for supported alloy/HEA nanoparticles (precursor preparation, loading on supports, and post-treatments).
• Operate and optimize automated/robotic solution synthesis to produce diverse compositional libraries of catalysts with strong reproducibility.
• Perform and/or coordinate structural and compositional characterization (e.g., XRD for phase verification; XRF for compositional analysis; TEM/XAS including in-situ/operando where applicable).
• Curate experimental datasets and write technical documentation (SOPs, reports) and contribute to manuscripts and presentations.
• Collaborate with multidisciplinary teams (AI/modelling and testing) and contribute to grant writing depending on experience.

JOB REQUIREMENTS

• PhD in Chemistry, Materials Science, Chemical Engineering, or related field.
• Hands-on experience in solution synthesis of nanoparticles and heterogeneous catalyst fabrication (supported nanoparticles).
• Strong competence in advanced nanoparticle/catalyst characterization (e.g., XRD, XRF, XAS, TEM or closely related techniques).
• Experience with automated/robotic synthesis platforms and high-throughput experimentation is advantageous.
• Basic scripting or data handling skills (Python/MATLAB) for instrument interfacing, data processing, or automated reporting
• Ability to work independently and collaboratively; strong problem-solving, critical thinking, and attention to detail.
• Track record of high-quality publications; strong written and verbal communication and good command of English.