Overview
The Philosophy Department at Carnegie Mellon University (CMU) is actively seeking applications for full-time, tenure-track faculty positions at any rank, set to commence in Fall 2026. This opportunity is particularly significant for those engaged in research that intersects with the CMU-CLeaR group and the Tetrad initiative, emphasizing the importance of causal learning and reasoning in philosophical discourse.
Background & Relevance
Causal learning and reasoning have become pivotal in various fields, including artificial intelligence and machine learning. The integration of philosophical perspectives into these domains fosters a deeper understanding of foundational concepts and ethical implications. This role is designed for candidates who can contribute to interdisciplinary research, bridging philosophy with empirical sciences and quantitative methodologies.
Key Details
- Application Deadline: November 20, 2025
- Start Date: Fall 2026
- Research Areas: Causal Learning and Reasoning, Philosophy of Science, AI, Statistics, Machine Learning, Quantitative Social Sciences
- Application Link: Interfolio Application
Eligibility & Participation
Candidates from any discipline are encouraged to apply, provided they demonstrate substantial engagement with philosophical or foundational issues. This position is ideal for individuals who are committed to interdisciplinary collaboration and research.
Submission or Application Guidelines
To apply, candidates must submit the following materials:
– 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 intersection of philosophy with AI and machine learning is increasingly relevant as these technologies evolve. Philosophical inquiry into the implications of AI and the methodologies of machine learning can lead to more responsible and ethical advancements in the field. This position at CMU not only supports academic growth but also contributes to the broader discourse on the societal impacts of technology.
Conclusion
This is an exciting opportunity for scholars interested in the philosophical dimensions of causal learning and AI. Interested candidates are encouraged to apply and may reach out to Peter Spirtes or Kun Zhang for further inquiries. Engaging in this role at CMU offers a chance to shape the future of interdisciplinary research in philosophy and technology.
Category: Academic Jobs
Tags: philosophy, causal learning, artificial intelligence, machine learning, statistics, quantitative social sciences, interdisciplinary research, carnegie mellon university
