Research School "Foundations of AI"

This HPI research school focuses on foundational AI methods such as energy-efficient and privacy-aware algorithms, fair and explainable decision-making, and mathematical theories of AI. It is structured for doctoral researchers who want to build core AI methods rather than only apply existing tools.

Academic requirements

Supervision agreement; Report of intent to pursue doctoral studies; Copies of university transcripts; Curriculum vitae in tabular form

Minimum GPA

None stated.

English requirements

The official HPI research-school pages do not require a specific language certificate, but they state that applicants should have a decent level of English to conduct research and communicate with supervisors, fellow researchers, and project partners.

Accepted bachelor fields

Applicants need a relevant master's degree, such as Computer Science, Data Science, Mathematics, Physics, Cognitive Science with a strong quantitative and programming background, or a comparable field aligned with foundational AI research.