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Postdoctoral Research Associate

Iowa State University
Published
April 18, 2024
Location
Ames, IA
Category
Job Type
Work Setting
In-office

Description

Iowa State University is a welcoming, global, and culturally diverse community of students, faculty, and staff. Campus community members have a wide range of backgrounds and experiences and are committed to engaging with each other respectfully as outlined in the university's Principles of Community. Iowa State recognizes that diverse intellectual and philosophical perspectives are vital to innovation, critical thinking skills, and a dynamic academic community that fosters the land-grant ideals of putting science, technology, and human creativity to work.

Roles and Responsibilities 

  • The Center for Statistics and Applications in Forensic Evidence (CSAFE) at Iowa State University is seeking qualified candidates for a Postdoctoral Research Associate to join our dynamic team.
  • This individual will be an integral member of our research team, contributing to groundbreaking projects at the intersection of statistical analysis, forensic science, and computer programming.
  • The role encompasses a wide range of responsibilities aimed at advancing the understanding and application of statistics in forensic evidence analysis.
  • The Postdoctoral Research Associate will collaborate closely with a team of experts to design and execute data collection methods.
  • They will employ advanced statistical methodologies and data analysis tools to process and interpret large datasets, translating complex data results into actionable insights.
  • Additionally, they will prepare comprehensive reports and research papers, mentor junior research assistants, including undergraduate and graduate students, and actively contribute to publishing research findings in peer-reviewed forensic journals and conferences.

Minimum Qualification(Required)

  • Ph.D.

Qualification(Preferred)

  • Ph.D. in statistics.
  • Experience applying statistical concepts and techniques to address forensic problems.
  • Proficient in R.
  • Ability to communicate technical information effectively to a wide variety of audiences.
  • Ability to work independently and collaboratively in a research team.
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