PhD position in epistemology of machine learning (3y), Munich (Germany)

The Emmy Noether junior research group "From Bias to Knowledge: The Epistemology of Machine Learning," led by Dr. Tom Sterkenburg, does work in the philosophical foundations of machine learning. The group's main aim is to improve our understanding of inductive bias, by building bridges between the philosophy of science and the mathematical theory of machine learning. The group is embedded within the Munich Center for Mathematical Philosophy (MCMP) at LMU Munich.

We are looking for a PhD candidate with an excellent master's degree in philosophy, logic, computer science, or related areas. You have a background and strong interest in the philosophy of artificial intelligence and/or philosophy of science, and ideally affinity with the mathematics and epistemology of machine learning. The deadline for applications is 1 May 2024, and the intended starting date is 1 October 2024.