AI-Driven Materials Discovery Scientist

A*STAR RESEARCH ENTITIES; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

A*STAR RESEARCH ENTITIES in Singapore seeks a Research Scientist to join an interdisciplinary team developing AI-driven materials discovery platforms. The role integrates experimental materials research, data infrastructure, and artificial intelligence to accelerate discovery and optimization of advanced materials.

You will work with experimentalists, computational researchers, and AI specialists to build data-driven workflows for autonomous materials research, spanning synthesis,

Qualifications

• PhD in a relevant discipline.
• Experience with experimental techniques relevant to advanced materials research.
• Programming experience in Python for scientific computing, data analysis, or workflow development.
• Familiarity with PyTorch, NumPy, pandas, SciPy, matplotlib, or similar libraries.
• Experience developing data analysis pipelines, automation scripts, or scientific software is advantageous.
• Exposure to machine learning, artificial intelligence, data science, or materials informatics is highly desirable.
• Familiarity with SQL, databases, data management, version control (Git), Linux, or high-performance computing environments is advantageous.
• Strong analytical and problem-solving skills; ability to work independently and collaboratively.

Responsibilities

• Design, conduct, and support experimental research on advanced materials, including synthesis, processing and characterization.
• Develop standardized automated experimental protocols and ensure high-quality, reproducible scientific data generation.
• Build, curate, and maintain high-quality materials datasets from experimental, computational, and literature sources.
• Develop automated data processing and analysis workflows to support AI-driven materials discovery.
• Develop Python-based tools and scientific workflows for data collection, preprocessing, visualization, and analysis.
• Collaborate with researchers to integrate laboratory instruments, databases, and computational workflows into a unified research platform.
• Apply machine learning, statistical analysis, and data-driven approaches to identify structure-property-processing relationships and accelerate materials optimization.
• Support the development of AI-assisted research tools, including scientific databases, knowledge management systems, and autonomous experimentation workflows.
• Work collaboratively with multidisciplinary teams across materials science, chemistry, computer science, automation, and data science.

Skills

Analytical skills

Independent & team work

Experience with experimental methods

Education

PhD in Materials Science and Engineering, Chemistry, Chemical Engineering, Computational Materials Science, Computer Science, Electrical Engineering or related discipline

Tools

Python

PyTorch

NumPy

pandas

SciPy

matplotlib

Job description

A*STAR RESEARCH ENTITIES in Singapore seeks a Research Scientist to join an interdisciplinary team developing AI-driven materials discovery platforms. The role integrates experimental materials research, data infrastructure, and artificial intelligence to accelerate discovery and optimization of advanced materials.

You will work with experimentalists, computational researchers, and AI specialists to build data-driven workflows for autonomous materials research, spanning synthesis,