Overview
Carnegie Mellon University’s Philosophy Department is actively seeking applications for full-time, tenure-track faculty positions at any rank, starting in Fall 2026. This initiative emphasizes the intersection of philosophy with Causal Learning, Artificial Intelligence, and Machine Learning, making it a significant opportunity for scholars in these fields.
Background & Relevance
The integration of philosophy with AI and machine learning is increasingly vital as these technologies shape various aspects of society. Causal Learning and Reasoning are critical areas that inform how we understand and interpret data, making philosophical insights essential for advancing these disciplines. This position supports interdisciplinary research, fostering collaboration between philosophy and empirical sciences.
Key Details
- Application Deadline: November 1, 2025, 11:59 PM EST
- Start Date: Fall 2026
- Application Link: Interfolio Application
- Contact Emails: Peter Spirtes (ps7z@andrew.cmu.edu), Kun Zhang (kunz1@cmu.edu)
Eligibility & Participation
Candidates from diverse academic backgrounds are encouraged to apply, provided they demonstrate a strong engagement with philosophical or foundational issues. The department values interdisciplinary approaches, making this a unique opportunity for those whose research intersects with philosophy and the sciences.
Submission or Application Guidelines
Interested applicants should prepare the following materials for submission:
– 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)
All materials should be submitted through the provided Interfolio link by the deadline.
Additional Context / Real-World Relevance
The role of philosophy in AI and machine learning is crucial as ethical considerations and foundational theories guide the development of these technologies. By fostering philosophical inquiry alongside technical disciplines, CMU aims to contribute to a more nuanced understanding of AI’s implications in society.
Conclusion
This is an exciting opportunity for scholars interested in the philosophical dimensions of AI and machine learning. Interested candidates are encouraged to apply and contribute to this dynamic field of study at Carnegie Mellon University.
Category: Academic Jobs
Tags: philosophy, causal learning, artificial intelligence, machine learning, statistics, interdisciplinary research, quantitative social sciences, carnegie mellon university
