Critical raw materials are essential for low-carbon technologies and have become a strategic concern due to supply chain vulnerabilities that may delay the European energy transition. Because disruption events are inherently stochastic, long-term energy planning must incorporate risk-aware approaches under uncertainty. Embedding material criticality into energy system optimization models can generate more informative scenarios in terms of supply risk, energy security, and technology mix shifts. However, the stochastic nature of critical raw materials supply disruptions has not yet been explicitly addressed in macro-scale energy system studies. This work develops a methodological framework to integrate material criticality and stochastic availability of critical raw materials into long-term European energy planning using the open-source optimization model TEMOA-Europe.