Assistant Professor of Statistical Science at Duke University

The International Society for Bayesian Analysis

Durham (NC)

On-site

USD 80,000 - 120,000

Full time

14 days+
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Job summary

The Department of Statistical Science at Duke University invites applications for two tenure-track Assistant Professor positions starting July 1, 2024. Candidates are sought who demonstrate excellence in research and a dedication to education, encouraging applications from all statistical science areas.

Qualifications

  • Promising academic research and teaching ability.
  • Commitment to equitable and inclusive research environments.

Responsibilities

  • Conduct high-quality research in statistical science.
  • Teach at graduate and undergraduate levels.

Job description

Assistant Professor of Statistical Science at Duke University

Sep 7, 2023

The Department of Statistical Science at Duke University in Durham, NC, invites applications for two tenure-track positions at the Assistant Professor level to begin in July 1, 2024. Applicants must combine promise of excellence in academic research with a commitment to high-quality education at the graduate and undergraduate levels. Applicants from all areas of statistical science are encouraged to apply.

Applicants should submit a cover letter, curriculum vitae, research and teaching statements, letters from three references, and one reprint/preprint via https://academicjobsonline.org/ajo/jobs/25594 . In the cover letter, candidates are encouraged to address their contributions to making their research and learning spaces equitable and inclusive. Enquiries can be emailed to stat-tt-search@duke.edu. Further information about the Department, including our educational programs and interdisciplinary collaborations, can be found at https://stat.duke.edu/. Applications received by November 13, 2023 will be guaranteed full consideration.

Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual’s age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.

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