The JD-ICE PhD course aims to develop and enhance students' knowledge and skills in order to train a new generation of professionals capable of exploiting (and further enhancing) cutting-edge ICT technologies to design and implement - in teams multidisciplinary work - innovative solutions relating to cognitive and interactive environments. In particular, the research topics of the Self-Aware Autonomous Systems curriculum with Univesity Carlos III of Madrid aim to improve the scientific excellence of students in the field of self-aware autonomous systems. Over the past decade, researchers have proposed and studied computing systems with advanced levels of autonomy to handle ever-increasing complexity requirements. An autonomous system is an artificial system capable of performing a certain number of tasks with a high degree of autonomy. Cognitive dynamic systems (CDSs) are a particular approach to address these challenges. CDSs aim to build rules of behavior over time through learning from continuous experiential interactions with the environment. By exploiting these rules, a CDS can understand dynamic environments, exploiting complex perception-action cycles in order to automatically choose the actions to take in potentially anomalous situations. Self-aware autonomous systems find application in advanced video surveillance systems, cognitive radios, traffic control, and industrial and domestic robotic applications. Students in this doctoral program will study and design innovative autonomous systems capable of adapting to non-stationary conditions. Many real-world systems often experience non-stationary conditions (i.e., unknown situations) due to uncertain interactions with the environment (including human agents) and users, failures, or structural changes.