AI Scientist, Materials Science & Chemistry, IMRE

We are seeking a highly motivated AI Scientist – AI for Ceramic Materials to join the MARVEL / CERAMIT programme, an interdisciplinary initiative combining Artificial Intelligence, Materials Science, high-throughput experimentation and Self-Driving Laboratories (SDL) to accelerate ceramic materials discovery and process optimisation. This is an opportunity to work at the intersection of AI and real-world materials experimentation , developing AI models that are not only predictive, but can guide the next experiment and continuously learn from new experimental data. Key Responsibilities • Develop and apply AI/ML models for ceramic materials discovery, property prediction and process optimisation. • Build data-driven relationships between composition, processing, microstructure and material properties . • Develop and curate high-quality ceramic materials datasets from experimental, literature and computational sources. • Apply techniques such as machine learning, deep learning, active learning, Bayesian optimisation and AI agents . • Collaborate with materials scientists to translate real-world materials challenges into AI-driven solutions. • Design experiments to validate AI predictions and improve model performance. • Integrate AI models with Self-Driving Laboratory and automated experimentation workflows . • Develop closed-loop workflows: AI Prediction → Experiment → Characterisation → Data → Model Update . • Contribute to high-impact publications, intellectual property, technology development and industry collaborations. • Mentor junior researchers and contribute to a multidisciplinary research environment. Requirements • PhD in Materials Science & Engineering, Ceramic Engineering, Chemical Engineering, Computer Science, Data Science, Physics or related disciplines. • Strong experience in AI/ML or ceramic/materials science , with a strong interest in bridging both fields. • Proficiency in Python and relevant scientific/ML libraries such as PyTorch, TensorFlow, Scikit-learn or equivalent. • Strong analytical, problem-solving and scientific communication skills. • Ability to work independently as well as collaboratively across disciplines. Apply now The above eligibility criteria are not exhaustive. A*STAR may include additional selection criteria based on its prevailing recruitment policies. These policies may be amended from time to time without notice. We regret that only shortlisted candidates will be notified.