"Postdoctoral Research Scholar"

Postdoctoral Research Scholar

Company:
North Carolina State University

Job Location:

Category:
Statistics

Type:
Full-Time

Join the Pack! A community with nearly 8,000 faculty and staff, and 30,000 students. NC State is one of the largest employers in North Carolina, offering a large range of career opportunities. Visit us at https://jobs.hr.ncsu.edu/.

Position Number: 00111742

Essential Job Duties:
The Department of Statistics at North Carolina State University was founded in 1941 by Gertrude M. Cox and is one of the oldest and largest statistics programs in the country. The primary function of the Department is to achieve outstanding research, teaching, mentoring, consulting and collaborations on campus and world-wide, within a cohesive department, where all students, faculty, and staff receive fair treatment. The Department has over 40 faculty members, most of whom are housed in SAS Hall on the University's main campus, along with more than 260 undergraduate and 150 graduate students. We are the "birthplace" of SAS Institute, the world's largest privately owned software company, and one which specializes in statistical applications. The Department maintains a close relationship with SAS and other industry partners through student programs and activities.

The Department has expertise in a number of research areas see (https://statistics.sciences.ncsu.edu/research/research-areas/) and strong ties with the Data Science Academy (https://datascienceacademy.ncsu.edu/) and the Genetics and Genomics Academy (https://gga.ncsu.edu/) at NC State. Our graduate program, which is the top producer of statistics PhDs, was recently ranked 11th in the nation and 28th in the world see (https://statistics.sciences.ncsu.edu/know-us/rankings-awards-stats/); we also have a thriving online master's program with approximately 100 students. While working in this department, you will be expected to foster a supportive and welcoming environment.

NC State promotes an integrated approach to problem solving that transforms lives and provides leadership for social, economic, and technological development across North Carolina and around the world. NC State's land grant mission of teaching, research and service is dedicated to the service of North Carolina and its people. Applicants are encouraged to review the institution's mission, vision and strategic plan, and consider how their background, interest and experience would enable them to support the university.

The postdoctoral associate must hold a PhD in Mathematics, Statistics, or a closely related discipline awarded before August 1st, 2026.

The position is for a term of up to two years, contingent upon performance. The starting date is anticipated to be August 2026 or earlier. We are committed to building a collaborative workforce and welcome applicants from all backgrounds and experiences.

Duties and Responsibilities:

• We are seeking a highly-motivated postdoctoral research fellow to join our group at the intersection of statistical methodology, artificial intelligence/machine learning (AI/ML) and environmental epidemiology.
• The candidate will engage in cutting-edge methodological research, tackling statistical challenges that arise from observational environmental health studies including estimating the health effects of Perfluoroalkyl and Polyfluoroalkyl Substances (PFAS) in drinking water.
• The successful candidate will work with Drs. Brian Reich and Shu Yang to develop new causal inference methods, and have the opportunity to collaborate with researchers at the US EPA and UNC-Chapel Hill Department of Medicine on applying novel methods to real-world data.
• Potential projects include (but are not limited to) spatial causal inference, network models for high-dimensional data and AI/ML methods for estimating heterogeneous causal effects.
• The candidate will also be expected to contribute to joint research projects, including mentoring junior researchers.

Departmental Required Skills:
PhD in Statistics, Biostatistics or a closely related discipline.

Preferred Experience, Skills, Training/Education:
Experience in Bayesian modeling, spatial statistics, causal inference and/or machine learning.

Necessary Licenses or Certifications:
N/A

Department: 178501 - Statistics

Location: Raleigh, NC

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