Clemson University: College of Science: School of Mathematical
& Statistical Sciences
Post Doctoral Fellow - School of Mathematical and Statistical
Location: 121 Lehotsky Hall - Clemson, SC
The School of Mathematical and Statistical Sciences at Clemson
University is seeking a talented individual for a full-time,
12-month Postdoctoral associate position starting in January 2024.
The target hire will be a recent PhD in mathematics, computational
science, data science, or other related fields. The position is
aimed at interdisciplinary research in field-collected forestry
population data and spatial stochastic mathematical modeling.
The purpose of this project is to provide research support to the
SC ALB eradication program. This new infestation occurs in both
urban and rural developed and palustrine wetlands and is the
furthest south of any of the previous or current infestation in the
U.S. This raises several questions around if it is possible to use
current and past data to optimize ALB detection capacity in the
field. A great deal of data are available pertaining to tree
infestation status and characteristics from within this other
infestations in the U.S., and these data may be used to help
optimize monitoring in SC specifically, and within other
The associate will assist researchers in investigating how we can
use previously collected data on trees infested by ALB and
associated landscape factors to optimize future survey efforts.
Specific goals and objectives in 2023 include:
1. Support APHIS S&T scientists by collecting and organizing
landscape and tree data associated with current and previous ALB
2. Assist S&T scientists in investigating potential
relationships between ALB host choice, landscape factors, and
characteristics of infested trees.
Some possible models to explore the primary goal are based on
dynamical systems. metapopulation models, stochastic spatial
models, and patch models. Metapopulation models analyze data
collected from spatially distributed populations, where dispersed
events that affect the local populations occur over time. Results
from these models can show local extinction/destruction
probabilities, and rates of occurring events, leading to
predictions about the state of the system in the future. Stochastic
spatial models analyze data from complex systems where local
stochastic effects may affect global stochastic effects. These
models play a role in understanding landscapes that can be
expressed as a network, where the dynamics of a local neighborhood
affects how the local neighborhood interacts with other
neighborhoods. These models lead to predicting the long run
behavior of interacting communities given a large number of
parameters. Patch models describe discrete spatial heterogeneity in
systems of ordinary differential equations where individuals travel
between patches at a given rate. These models typically used for
infectious disease modeling on a global scale can be applied to our
primary goal, ALB infestations on trees across many states. These
models can be used to predict long term behavior and steady states
of the system.
The School of Mathematical and Statistical Sciences is dedicated to
Clemson's overall mission of discovery, learning and engagement.
The School's faculty includes tenure/tenure track faculty,
postdoctoral fellows, and lecturer-track faculty and fosters
professional growth for all faculty. The School offers the full
range of Baccalaureate, Master's, and Doctoral degrees.
The School of Mathematical and Statistical Sciences is organized
into three Divisions:
• Mathematics: includes faculty in Algebra and Discrete
Mathematics, Computational Mathematics, and Pure and Applied
• Statistics and Operations Research: includes faculty in Applied
Statistics and Data Science, Operations Research, and Probability
and Mathematical Statistics.
• Mathematics and Statistics Education: includes faculty in
Mathematics Education and Statistics Education. Lecturers (of all
ranks) belong to the Mathematics and Statistics Education
For more information about the School and its programs, please
visit the website http://www.math.clemson.edu
more information about Clemson, please visit the website http://www.clemson.edu/
Applicants must have an PhD in mathematics, computational science,
data science, or a relevant field. The hire is expected to be for 1
position in the mathematics or statistics division in the
Application reviews will begin on July 17, 2023 and continue until
the position is filled.
Applicants should submit the following items via Interfolio
(1) Curriculum Vitae
(2) Letter of application
(3) Teaching statement
(4) An unofficial transcript
(5) Three confidential letters of recommendation.
Equal Employment Opportunity Statement
Clemson University is an AA/EEO employer and does not discriminate
against any person or group on the basis of age, color, disability,
gender, pregnancy, national origin, race, religion, sexual
orientation, veteran status or genetic information. Clemson
University is building a culturally diverse faculty and staff
committed to working in a multicultural environment and encourages
applications from minorities and women.