Senior Scientist / Scientist, Centre for Frontier AI Research, IAIC

Job Summary We are seeking highly motivated research scientists to join our AI for Science team developing next-generation AI-driven approaches for material design and scientific discovery . The project aims to build foundation models and intelligent AI agents that accelerate the design and understanding of advanced materials by integrating multimodal data, physics knowledge, and machine learning. Successful candidates will work at the intersection of Artificial Intelligence and Materials Science , contributing to cutting-edge research with opportunities to publish in top-tier AI and interdisciplinary venues, collaborate with leading academic and industry partners, and contribute to strategic national research projects. Research Areas Depending on your expertise and interests, you may contribute to one or more of the following areas: • AI foundation models for materials and scientific data • Multimodal learning integrating images, microstructures, text, simulations, and material properties • Generative AI for inverse material design and optimization • Scientific reasoning and AI agents for autonomous material discovery • Diffusion models, large language models (LLMs), and multimodal large language models (MLLMs) • Human-AI collaboration for scientific research Responsibilities • Conduct cutting-edge research in AI for materials discovery and design. • Develop novel AI algorithms for inverse design, property prediction, and scientific reasoning. • Collaborate with materials scientists and domain experts to solve real-world scientific challenges. • Design, implement, and evaluate AI systems using modern deep learning frameworks. • Publish research findings in leading AI and interdisciplinary conferences and journals. Required Qualifications Applicants should possess one or more of the following backgrounds: • Artificial Intelligence • Machine Learning • Computer Science • Data Science • Computational Materials Science • Mechanical Engineering • Applied Mathematics • Related disciplines Candidates should have experience in some of the following: • Deep learning (PyTorch or TensorFlow) • Generative AI (Diffusion Models, VAEs, GANs, Transformers, LLMs) • Representation learning • Computer vision or multimodal learning • Linux and GPU computing Strong analytical, programming, and communication skills are expected. What We Offer • Opportunity to work on cutting-edge AI for Science research. • Collaboration with leading researchers in artificial intelligence and materials science. • Access to large-scale computing resources and state-of-the-art AI infrastructure. • Opportunities to publish in top-tier conferences and journals. • An interdisciplinary research environment with strong industry and academic collaborations.