Postdoctoral Scholar

Penn State University

Campus/Location:
University Park Campus
Date Announced:
01/15/2019
Date Closing:
open until filled
Job Number:
85110
Work Unit:
Eberly College of Science
Department:
Biology

Description

The Cattadori Lab and the Boni Lab in the Department of Biology at the Pennsylvania State University are recruiting a highly-motivated postdoctoral scholar to work on epidemiological model fitting on both within-host and between-host data sets. The labs’ research interests can be seen here https://bio.psu.edu/directory/imc3 and here http://www.cidd.psu.edu/people/mfb9. Positions will begin in spring 2019; please inquire if you would like an earlier start date. The Cattadori group has been working on an experimental Bordetella infection system in rabbits and has accumulated data on the intensity of infection in the respiratory track, amount of bacteria shed by contact and aerosol and immune response in single, dual and triple infections with gastrointestinal helminths. Most of the work on infection and immunity has been published. The Boni group has been working in influenza seroepidemiology for a number of years, including an analysis of a unique serological time series that allows for the reconstruction of the joint symptomatic and asymptomatic dynamics of influenza virus. See this paper for an initial description of the data set: http://mol.ax/pdf/nhat17.pdf. One key focus of this postdoctoral position will be the development of likelihood models for the explicit fitting of free uncorrelated incidence parameters that leave a particular serological signature in cross-sectional serum collections. The candidate’s goal in this work will be to reconstruct the early stages of pandemic influenza circulating in southern Vietnam. Candidates who would enjoy developing methods in computational epidemiology using these systems as well as if they are interested in developing new directions for any of the ongoing projects described above are encouraged to apply. The position requires a PhD in one of Ecology, Evolution, Computational Epidemiology, Mathematical Modeling, Population Genetics, Bioinformatics, Statistics, Applied Mathematics, or a related field. The ideal candidate will have experience in one or more programming languages and in a variety of statistical and modeling methods. Complementary expertise in epidemiology, ecology, or immunology are also helpful. Excellent communication skills, including writing, are required, as is a strong publication record. A complete application should include a cover letter detailing experience and research interests, a current CV, and contact information for three professional references. Review of applications will begin in January 2019. This is a fixed-term appointment funded for one year from the date of hire, with possibility of re-funding.

These salary bands have been established to provide salary guidelines for staff positions.

Salary Band Minimum Midpoint Maximum
A $16,584 $24,456 $32,328
B $18,240 $26,904 $35,556
C $19,728 $29,592 $39,456
D $21,708 $32,568 $43,416
E $24,312 $36,468 $48,612
F $27,228 $40,848 $54,456
G $30,012 $45,744 $61,500
H $34,188 $52,140 $70,080
I $38,988 $59,424 $79,908
J $43,716 $67,740 $91,812
K $50,712 $78,600 $106,488
L $58,836 $91,176 $123,528
M $68,232 $105,756 $143,292
N $80,508 $124,788 $169,068
O $93,492 $147,252 $201,024
P $110,340 $173,760 $237,192
Q $126,396 $199,056 $271,728
R $151,668 $238,872 $326,088