Overview
The Philosophy Department at Carnegie Mellon University (CMU) is actively seeking candidates for full-time, tenure-track faculty positions starting in Fall 2026. This opportunity is particularly significant for those whose research aligns with the CMU-CLeaR group and the Tetrad initiative, both of which focus on critical intersections of philosophy, causality, and machine learning.
Background & Relevance
The fields of Causal Learning and Reasoning, along with the Philosophy of Science, are gaining prominence in the context of artificial intelligence and machine learning. These areas explore fundamental questions about causation, inference, and the implications of AI technologies on society. As AI continues to evolve, the philosophical underpinnings of these technologies become increasingly important, making this position relevant for scholars interested in interdisciplinary research that bridges philosophy and empirical sciences.
Key Details
- Position Type: Tenure-track faculty
- Start Date: Fall 2026
- Application Deadline: November 20, 2025
- Application Link: Interfolio Application
Eligibility & Participation
Candidates from any discipline are encouraged to apply, provided they demonstrate a significant engagement with philosophical or foundational issues. This position is ideal for researchers who specialize in areas such as Causal Learning, AI, Statistics, or Quantitative Social Sciences.
Submission or Application Guidelines
To apply, candidates must submit the following materials:
– A letter of intent
– Curriculum vitae
– Research statement
– Educational or teaching statement
– Three letters of recommendation
– One sample of research (e.g., draft paper, published paper, or book chapter)
Applications should be submitted via the provided Interfolio link.
Additional Context / Real-World Relevance
The integration of philosophy with AI and machine learning is crucial as these technologies increasingly influence various aspects of life. Understanding the philosophical implications of AI can lead to more responsible and ethical applications. This faculty position at CMU represents a unique opportunity to contribute to this vital discourse and shape future research directions in the field.
Conclusion
This is a compelling opportunity for scholars interested in the intersection of philosophy, causality, and AI. Interested candidates are encouraged to apply and contribute to the vibrant academic community at Carnegie Mellon University. For further inquiries, potential applicants may reach out to Peter Spirtes or Kun Zhang for guidance before submitting their applications.
Category: Academic Jobs
Tags: philosophy, causal learning, artificial intelligence, machine learning, statistics, quantitative social sciences, interdisciplinary research, carnegie mellon university
