AI Scientist, Materials Science & Chemistry, IMRE

Job Description 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.

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