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Post Doc (CLeaR)

Carnegie Mellon University

Pittsburgh, PAResearchSeen 2w agoSeen in employer's feed today

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At a glance

Compensation
No compensation found
Location
Pittsburgh, PA
Role Type
Research
Work Authorization
Not specified

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Requirements

Credentials this posting asks for.

Doctorate

Job overview

The Causal Learning and Reasoning (CLeaR) group in Carnegie Mellon University's Department of Philosophy develops methods and platforms for learning causality from observational data and applies causal principles for reasoning and decision-making, offering two one-year postdoctoral fellowships starting October 2026.

Skills & qualifications

RequiredNice to have

Skills

Causal LearningInference

Qualifications

Ph.D. In Computer Science, Philosophy, Statistics or Related DisciplineStrong Research Experience

Full job description

Description

The Causal Learning and Reasoning (CLeaR) group in the Department of Philosophy at Carnegie Mellon University develops methods and platforms for learning causality, including hidden causal variables, from various types of observational data and makes use of causal principles to perform principled reasoning and decision-making. It invites applications for two one-year postdoctoral fellowships beginning October 2026, potentially renewable for a second year.

Qualifications

A Ph.D. in computer science, philosophy, statistics, or a closely related discipline is required. We seek strong researchers with demonstrated experience in causal learning or inference and an interest in supporting the group's mission.

Equal Employment Opportunity Statement

Carnegie Mellon University is an equal opportunity employer. It does not discriminate in admission, employment, or administration of its programs or activities on the basis of race, color, national origin, sex, disability, age, sexual orientation, gender identity, pregnancy or related condition, family status, marital status, parental status, religion, ancestry, veteran status, or genetic information. Furthermore, Carnegie Mellon University does not discriminate and is required not to discriminate in violation of federal, state, or local laws or executive orders.

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