Supervision

The SCIoI doctoral program emphasizes interdisciplinarity. This is reflected in the fact that doctoral students receive guidance from multiple  PIs with complementary expertise. SCIoI’s research and teaching environment of SCIoI guides doctoral students on their path to becoming exceptional interdisciplinary researchers and “natives” in our Science of Intelligence. Students hold annual progress meetings with their supervisors, where past achievements are reviewed and future steps are agreed upon. Long-term goals are set to be reviewed at the next annual progress meeting. These meetings offer an opportunity to tailor your individualised curriculum to your research agenda. 

As a doctoral student your research will be complemented by an individualized curriculum to explore different disciplines crucial to intelligence research. The SCIoI curriculum features 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, symposia for early-career researchers offer lectures, workshops, and discussion sessions to develop integrative interdisciplinary approaches to the study of intelligence. The symposia also address aspects of ethics, gender, and philosophy, which are relevant to SCIoI’s agenda.

Curriculum