Applicants are invited to apply for a post-doc position in statistical
modeling in the Ecology and Evolutionary Biology Department at Princeton
University. The post-doc will join an interdisciplinary team to investigate
the role of climate, dust and other factors in driving meningococcal disease
dynamics in the African meningitis belt.

Please share the announcement below with anyone who may be interested.

All the best,

Nicole

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Nicole E. Basta, PhD

Department of Ecology and Evolutionary Biology Princeton University
Princeton, NJ 08544
Phone: 609-258-7523
Email: nba...@princeton.edu
Web: www.princeton.edu/~nbasta
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Post-Doctoral Research Associate

Princeton University has a full-time post-doctoral research associate
position available in the Department of Ecology and Evolutionary Biology to
develop statistical models to better understand meningococcal disease
dynamics in the African meningitis belt. The postdoc will work primarily
with an interdisciplinary research team consisting of epidemiologists,
climate scientists, and ecologists from Princeton University and the
Geophysical Fluid Dynamics Lab at the National Oceanic and Atmospheric
Administration to investigate the role of environmental factors in driving
bacterial meningitis outbreaks.

The postdoc will be responsible for developing statistical models that draw
upon empirical data from meningitis case surveillance and results from
several newly developed models of climate and global dust circulation.
Potential applicants should have a strong quantitative background in
statistical modeling, experience with relevant modeling techniques including
sensitivity analyses, and an interest in the interaction between
environmental factors and infectious diseases.
Additional responsibilities include conducting relevant literature reviews,
developing hypotheses, designing approaches and research plans to addressing
these hypotheses, and drafting manuscripts.

Candidates are required to have a PhD in Statistics, Epidemiology,
Environmental Science, or a related quantitative field. Proficiency in R or
another statistical program and demonstrated experience is required.
Excellent interpersonal, communication, and organization skills and ability
to work independently and collaboratively is essential. Appointment will be
for one year, renewable contingent upon funding and satisfactory progress.
Salary is competitive and commensurate with experience; benefits are included.

Applicants should apply online at https://jobs.princeton.edu, Requisition
#1300319, and include a curriculum vitae, a two-page research statement
describing background and experience, and a cover letter.  Names and contact
information of two references will be required for online reference request.

Princeton University is an equal opportunity employer and complies with
applicable EEO and affirmative action regulations.

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