Supervision

The SCIoI doctoral program emphasizes interdisciplinarity. This is reflected in the fact that doctoral students will be advised by multiple PIs with complementary expertise. The research and teaching environment of SCIoI guides doctoral students on their path to becoming extraordinary interdisciplinary researchers and “natives” in our Science of Intelligence. Students hold annual progress meetings with the doctoral committee. During these meetings, past achievements are reviewed and appropriate next steps are agreed upon. Long-term goals are set to be reviewed at the next annual progress meeting. During the meetings, your individualized course curriculum will be tailored to the research agenda.

As a doctoral student your research will be complemented by an individualized curriculum to learn about different disciplines important to intelligence research. The SCIoI curriculum can feature courses from all the disciplines involved in SCIoI: Artificial Intelligence, Behavioral Biology, Computer Vision, Control, Educational Science, Machine Learning, Neuroscience, Philosophy, Psychology and Robotics. In particular, systems building and integration science are part of the curriculum for SCIoI graduate students － this enables our students to integrate their research into the intelligent synthetic systems we build. Twice a year, two-day symposia offer lectures, workshops, and discussion sessions to develop integrative interdisciplinary approaches to the study of intelligence. The symposia also cover aspects of ethics, gender, and philosophy relevant to SCIoI.

Curriculum