A postdoctoral research project training opportunity is currently 
available at the U.S. Environmental Protection Agency’s (EPA), Office of 
Research and Development, National Health and Environmental Effects 
Research Laboratory (NHEERL). The appointment will be served with the Gulf 
Ecology Division (GED) in Gulf Breeze, Florida.

This research project aims to determine how change point analyses can be 
applied to time series data for environmental agents affecting human and 
ecological health. Addressing how to use novel state of the science 
approaches to identify possible causal agents responsible for significant 
increases in population level human and ecological impairments, the main 
research problem is determining whether change point analyses of time 
series data and the linkage between human and ecological health be used to 
identify causal agents.

The research participant will be part of an interdisciplinary research 
team determining how change point analyses can be used in causal agent 
identification. Specific opportunities may include:

evaluating selected time series data for significant environmental agents 
that can affect both human and ecological health 
understanding the exposure and effects of selected environmental agents 
with distinct time series change points 
using change point analyses to determine possible candidate environmental 
agents for selected case studies 
integrating exposure and effects with change point analyses to identify 
likely causative agents 
The research participant will have the opportunity to exercise initiative 
and judgment commensurate with their level of experience and education. 
S/he will be mentored by a senior scientist at GED and learn to develop 
approaches for predictive mode of action and toxicity model development.

Specific learning opportunities include:

understanding the integration of exposure and effects and the linkage 
between human and ecological health 
investigation and application of change point analysis approaches 
developing approaches to identifying causal agents 
This opportunity will provide the participant experience with using change 
point analyses of exposure and effects data to identify environmental 
agents affecting human and ecological health. Professional development 
opportunities could also include presenting work at scientific meetings, 
authoring publications, and collaborating with external (non-EPA) 
scientists and engineers.


Qualifications:

Applicants must have received a doctoral degree in biostatistics, 
environmental science, epidemiology, mathematical biology, mathematics and 
statistics, population biology, or systems science and theory within five 
years of the desired starting date, or completion of all requirements for 
the degree should be expected prior to the starting date.

The program is open to all qualified individuals without regard to race, 
sex, religion, color, age, physical or mental disability, national origin, 
or status as a Vietnam era or disabled veteran. U.S. citizenship or lawful 
permanent resident status is preferred (but a candidate also may hold an 
appropriate visa status; an H1B visa is not appropriate).

The appointment is full time for one year and may be renewed upon 
recommendation of EPA and contingent on the availability of funds. The 
participant will receive a monthly stipend. Funding may be made available 
to reimburse the participant's travel expenses to present the results of 
his/her research at scientific conferences. No funding will be made 
available to cover travel costs for pre-appointment visits, relocation 
costs, tuition and fees, or a participant's health insurance. The 
participant must show proof of health and medical insurance. The 
participant does not become an EPA employee.


Technical Questions:

The mentor for this project will be Dr. Mace Barron ([email protected]).


How to Apply:

An application can be found at 
http://orise.orau.gov/epa/applicants/application.htm. Please reference 
Project # EPA-ORD/NHEERL-GED-2014-03 when calling or writing for 
information.

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