Postdoctoral Researcher

Employer
Virginia Tech
Location
Virginia, United States
Salary
Salary Not Specified
Posted
Dec 18, 2020
Employment Type
Full Time


Job Description

The Quantitative Ecological Dynamics (QED – http://leah.johnson-gramacy.com/QED/) Laboratory in the Departments of Statistics, Biological Sciences, and the Fralin Life Sciences Institute is seeking applications from outstanding candidates for a Postdoctoral Researcher (PR) position. This position is part of the NSF funded project "CAREER: Quantifying heterogeneity and uncertainty in the transmission of vector borne diseases with a Bayesian trait-based framework". Duties of the PR include mathematical and statistical modeling of the links between thermal traits of vectors and disease transmission. Specific analyses will depend on the skill set and interest of the PR and may include the development of new methods. The PR will prepare technical reports detailing all aspects of the work done (such as analysis methods), and interpretation of results. The PR will be responsible for creating and maintaining code for the reproducible analysis of all data, possibly including the creation of an analysis package. The PR will also prepare articles for submission to peer-reviewed journals, present findings at conferences, and participate in collaborative aspects of the NSF project and the QED lab (including travel for collaboration meetings).

Required Qualifications

PhD in Applied Math, Statistics, or Mathematical Biology. Candidates with PhDs in Biological sciences will be considered with evidence of significant quantitative/statistical training. PhD in above field awarded no more than four years prior to the effective date of appointment with a minimum of one year eligibility remaining.
Extensive experience coding in R or another programming language.
Excellent written and oral communication skills.

Preferred Qualifications

Expertise in Bayesian methods and Monte Carlo computation methods.
Experience in building and analyzing mathematical models of infectious disease spread (e.g., dynamical systems models), particularly as applied to vector-borne diseases.
Experience in maintaining code repositories, for example using GIT. Experience using LaTeX.

Appointment Type

Restricted

Review Date

January 11, 2021

Additional Information

The successful Candidate will be required to have a criminal conviction check

About Virginia Tech

Dedicated to its motto, Ut Prosim (That I May Serve), Virginia Tech pushes the boundaries of knowledge by taking a hands-on, transdisciplinary approach to preparing scholars to be leaders and problem-solvers. A comprehensive land-grant institution that enhances the quality of life in Virginia and throughout the world, Virginia Tech is an inclusive community dedicated to knowledge, discovery, and creativity. The university offers more than 280 majors to a diverse enrollment of more than 36,000 undergraduate, graduate, and professional students in eight undergraduate colleges , a school of medicine , a veterinary medicine college, Graduate School , and Honors College . The university has a significant presence across Virginia, including the Innovation Campus in Northern Virginia; the Health Sciences and Technology Campus in Roanoke; sites in Newport News and Richmond; and numerous Extension offices and research centers . A leading global research institution, Virginia Tech conducts more than $500 million in research annually.

Virginia Tech does not discriminate against employees, students, or applicants on the basis of age, color, disability, sex (including pregnancy), gender, gender identity, gender expression, genetic information, national origin, political affiliation, race, religion, sexual orientation, or veteran status, or otherwise discriminate against employees or applicants who inquire about, discuss, or disclose their compensation or the compensation of other employees or applicants, or on any other basis protected by law.

If you are an individual with a disability and desire an accommodation, please contact Erin Cassidy at ecassidy@vt.edu during regular business hours at least 10 business days prior to the event.

Advertised: December 18, 2020
Applications close:

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