CfA: PhD position in epistemology of machine learning (3y, 65%), MCMP, LMU Munich 

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 in machine learning algorithms, 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) and the Chair of Philosophy of Science (Prof. Dr. Stephan Hartmann) at the Faculty of Philosophy of 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 MCMP is an internationally leading center in formal philosophy, and hosts a vibrant research community of faculty, postdoctoral fellows, doctoral fellows, master students, and visiting fellows. It organizes multiple weekly colloquia as well as various workshops, conferences, summer schools, and reading groups. You will partake in the MCMP’s academic activities and enjoy its administrative facilities and support. Munich is moreover one of the most important AI research hubs in Germany. The MCMP actively works together with the Munich Center for Machine Learning (MCML), a national Centre of Excellence for AI Research. You will therefore have access to an outstanding network of researchers both in philosophy and in AI.

Deadline for applications: 1 May 2024. Intended starting date: 1 October 2024.

For further information, please see