Dunia is building AI for one of the hardest unsolved problems in science: turning materials discovery from an academic, trial-and-error process into a programmable, scalable discipline.
As Materials Informatics Scientist (Evaluation-focused), you will own the evaluation and validation of AI models applied to materials discovery. Your role is to ensure that model performance claims are meaningful, comparable, and decision-relevant, and that progress in AI for Materials reflects real improvements in discovery, not artifacts of metrics or datasets.
Evaluate tradeoffs between accuracy, uncertainty, data efficiency, and usability
Help research and programs teams understand what current models can and cannot reliably do
Ensure disciplined, reproducible handling of data, code, and results
Present findings clearly to AI researchers, materials scientists, and leadership
PhD (strongly preferred) or Master’s degree in materials science, chemistry, physics, machine learning, or a related field
Strong programming skills in Python and scientific data tooling
English fluency, additional languages preferred
Dunia, meaning “world” in over 20 languages, reflects our global mission: to drive clean energy innovation in the hardest-to-decarbonize sectors. With cutting-edge physics AI technology, we’re accelerating breakthroughs in materials science to help reduce global CO 2 emissions by billions of tons annually. Join us and make a real difference in a dynamic, impact-driven environment.