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Duke University

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Postdoctoral Associate in Statistical Science, Reinforcement Learning, and Statistics at Duke University Duke University in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Postdoctoral Associate position; funding details are not specified in the post.

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Country

United States

University

Duke University

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Keywords

Computer Science
Mathematics
Reinforcement Learning
Statistics
Methodologie

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About this position

Duke University is inviting applications for a Postdoctoral Associate in Statistical Science under the mentorship of Professor Eric Laber.

The position sits at the intersection of reinforcement learning and statistics, with a research agenda focused on statistical methodology for the design and analysis of micro-randomized trials and experimental designs for Markov decision processes.

The postdoctoral researcher will contribute to method development, algorithm design, software implementation, numerical experiments, data analysis, and manuscript preparation. The role also includes participation in lab meetings and discussions, serving as a statistics advisor to junior lab members, and contributing to the broader intellectual life of the group.

Eligibility: a PhD in Statistics or a related field is required. The post is located at Duke University in Durham, North Carolina, United States.

How to apply: submit a CV, a cover letter describing research interests, and contact information for at least three references via Academic Jobs Online. Review begins immediately and continues until the position is filled.

Funding details

Postdoctoral Associate position; funding details are not specified in the post.

What's required

A PhD degree in Statistics or a related field is required. The candidate should have research interests aligned with reinforcement learning and statistics and be able to develop statistical methods and algorithms, implement software, run numerical experiments, analyze data, and help write manuscripts.

How to apply

Submit a CV, cover letter stating research interests, and contact information for at least three references through Academic Jobs Online. Review begins immediately and continues until the position is filled.

More information can be found here

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