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Post Doctoral Fellow - Moral-AI (CMU and Duke University)
Carnegie Mellon University —Carnegie, PA
- Computer science
- Computer Science
- University

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Post Doctoral Fellow - Moral-AI (CMU and Duke University)
Carnegie Mellon University —Carnegie, PA
Applicants should hold a Ph.D. in computer science, statistics, mathematics, or related technical fields and have expertise in Machine Learning and AI /…

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Post Doctoral Fellow - Moral-AI (CMU and Duke University)

Carnegie Mellon University -
Carnegie, PA

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Job Details

Qualifications

Machine intelligence
Doctor of Philosophy
Data science
Machine learning (ML) fundamentals

Full Job Description

Carnegie Mellon University: School of Computer Science: Computer Science

Location

Carnegie Mellon University and Duke University

Open Date

Jan 05, 2024

Description

Hosts: Professors Hoda Heidari and Vincent Conitzer at CMU; Jana Schaich Borg and Walter Sinnott-Armstrong at Duke

We have an opening for a joint two-year postdoctoral position at the School of Computer Science at Carnegie Mellon University and the Social Science Research Institute and Kenan Institute for Ethics at Duke University (with the possibility of renewal for a third year). The postdoc can be employed through any of these departments. The candidate is expected to live in either Pittsburgh or Durham depending on the home department but will be expected to travel occasionally to the other location.

The postdoc will be jointly hosted by Professors Hoda Heidari and Vincent Conitzer at CMU and Professors Jana Schaich Borg and Walter Sinnott-Armstrong at Duke. The focus of the position is on conducting impactful research on moral artificial intelligence. The postdoc will have the opportunity to engage with our partners at Stanford, Guelph, and Oxford, and address such problems as:

Designing artificial intelligence systems to model and predict human moral judgments and medical treatment preferences
Designing effective elicitation mechanisms and interfaces to capture moral and medical preferences
Developing techniques for implementing and evaluating AI systems that are based on these modeled preferences and assessing the dynamic impact of these systems on the preferences and behavior of users who interact with them

Qualifications

Applicants should hold a Ph.D. in computer science, statistics, mathematics, or related technical fields and have expertise in Machine Learning and AI / statistics / data science. Additional background in philosophy, (AI or other) ethics, HCI, and/or social science is preferred but not required. We are strongly committed to a diverse academic environment and place high priority on attracting candidates from underrepresented groups.

Timeline: The postdoc could begin as early as the Summer of 2024, but could start later if needed. We will begin considering applications starting February 14, 2024.

Application Instructions

Interested applicants should submit a CV and statement of research interests, and the names of three referees that can provide letters of recommendation.

Application Process

This institution is using Interfolio's Faculty Search to conduct this search. Applicants to this position receive a free Dossier account and can send all application materials, including confidential letters of recommendation, free of charge.

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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Post Doctoral Fellow - Moral-AI (CMU and Duke University)

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Carnegie Mellon University: School of Computer Science: Computer Science

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