Mississippi State University (MSU) is seeking a Post-doctoral Research 
Associate to be located at the U.S.D.A. Wildlife Services (WS) National 
Wildlife Research Center’s (NWRC) Ohio Field Station in Sandusky, OH. 
Outstanding candidates with an excellent academic record and research 
interest/expertise in applied wildlife research, specifically human-wildlife 
conflicts, wildlife damage management, avian ecology, and ecological modeling 
are encouraged to apply. The successful candidate will work closely with MSU 
faculty, NWRC research staff and WS Airport Wildlife Hazards Program staff to 
explore the topic and model wildlife strike risk to military aircraft and other 
aircraft strike associated projects. Primary duties will include developing 
military wildlife strike risk models and associated tasks of model validation, 
database development and data analysis, developing peer-reviewed manuscripts 
and grants related to numerous wildlife aircraft strike topics, communicating 
results to multiple stakeholders and user groups, and collaborating with 
diverse researchers and staff members among government and non-government 
agencies. Secondary duties may include but are not limited to leading 
additional research endeavors related to aircraft strike risk or assisting NWRC 
research staff with local research projects, interacting with civil and 
military personnel including but not limited to airport wildlife biologists and 
military BASH team members, and presenting research results at scientific 
meetings. In summary, early career researchers interested in advancing the 
current knowledge of human-wildlife conflict mitigation concomitant to 
increasing their research abilities are encouraged to apply.
Minimum qualifications include a Ph.D. in wildlife science, ecology, wildlife 
damage management, natural resource management, conservation biology or similar 
discipline. Preferred qualifications include the aforementioned degree and a 
demonstrated ability to manage complex data projects including proficiencies in 
data management and analysis using multiple statistical models and software 
packages (e.g., Program R), creative thinking, publication development, and 
effective communication among multiple stakeholder groups. Preference will also 
be given to candidates with a background in wildlife damage management (i.e., 
human-wildlife conflict mitigation) or thorough knowledge thereof, general 
knowledge of aviation and aircraft types, demonstrated data management 
abilities among multiple software and coding language platforms, and 
demonstrated success working closely with government and non-government 
stakeholders on applied questions in wildlife conservation and damage 
management. Applicants should be self-motivated, fit well in a 
multidisciplinary team environment, exhibit excellent oral and written 
communication skills, and demonstrate the ability to publish in the 
peer-reviewed literature. 

This position is a full time, 12 month appointment for two years with an annual 
salary of $47,500  (+ benefits), and will remain open until filled. Interested 
applicants must apply online at www.jobs.msstate.edu (search for PARF#497856) 
by submitting a cover letter, vitae, statement of research interests, copy of 
your transcripts, and the complete contact information for three references. 
For additional information, please e-mail Dr. Raymond B. Iglay at 
ray.ig...@msstate.edu or call 662-325-5933.  Position will begin ASAP.

EQUAL EMPLOYMENT OPPORTUNITY STATEMENT:
MSU is an equal opportunity employer, and all qualified applicants will receive 
consideration for employment without regard to race, color, religion, 
ethnicity, sex (including pregnancy and gender identity), national origin, 
disability status, age, sexual orientation, genetic information, protected 
veteran status, or any other characteristic protected by law. We always welcome 
nominations and applications from women, members of any minority group, and 
others who share our passion for building a diverse community that reflects the 
diversity in our student population.

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