|Position Title||Postdoctoral Scholar|
|Department||UNC Inst for the Environment - 635200|
|Position Type||Postdoctoral Scholar|
|Salary Range||Dependent on experience|
|If part-time, hours per week|
|Proposed Start Date||02/11/2020|
|Estimated Duration of Appointment||12 Months|
|Posting Open Date||03/18/2019|
|Posting Close Date|
|Open Until Filled||Yes|
|Work Location||Chapel Hill, NC|
A postdoctoral research project training opportunity is currently available at the Institute for the Environment with the University of North Carolina at Chapel Hill. This appointment will be in the Institute’s Center for Environmental Modeling and Policy Development (IE-CEMPD).The selected candidate will work with Dr. Sarav Arunachalam in IE-CEMPD, developing and applying multi-scale modeling techniques for assessing air quality and health impacts of individual emissions sectors. The candidate will work on a subset of the following tasks: a) Review / process emission inventories for specific sectors and based on emerging literature on understanding of key sectors, develop/apply these methods to correct for potential biases in emissions inputs, b) Use regional-scale air quality models such as CMAQ with instrumented techniques such as the Decoupled Direct Method (DDM) and / or Adjoint for assessing sectoral contributions on air quality and health, c) Explore use of remote sensing products for model evaluation and source attribution, d) collaborate with other institutions to assess health and economic impacts of individual sectoral emissions, and e) develop peer reviewed publications and policy papers.Beyond these tasks, the chosen candidate will also have an opportunity to work with other ongoing projects within IE-CEMPD in the field of emissions, air quality and climate modeling, to be mentored by the PI to lead the development of new project ideas and develop grant proposals, and provide support to junior staff / graduate students on related tasks.
Ph.D. in Atmospheric or Environmental Sciences and Engineering or Equivalent
|Qualifications and Experience||
The ideal candidate should have a strong background in numerical modeling specifically with models such as CMAQ for regional scale modeling applications, familiarity with emissions inventories and processing them, and quantitative analysis of models and observational data using Python, Matlab, R, etc. Additional desired qualifications are a) strong communication skills – written and oral, b) computer skills related to working with complex models and large data sets, c) software skills needed to work with multiple observation data sets – in situ and remotely sensed (such as NASA’s satellite data products) for model evaluation and source attribution, d) a strong desire/motivation to develop scientific analyses of environmental problems for decision-making in support of national and international policies, and e) ability to work in a team environment.
|Equal Opportunity Employer||
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, race, national origin, religion, sex, sexual orientation, or status as a protected veteran.
For information on UNC Postdoctoral Benefits and Services click here: https://s3.amazonaws.com/pa-hrsuite-production/614/docs/384159.pdf
1.Please provide three professional references
|Special Physical and Mental Requirements|
|Department Contact Name and Title||Gabriela Hernandez; HR Specialist|
|Department Contact Telephone or Emailemail@example.com|
|Postdoctoral Affairs Contact Information||
If you experience any problems accessing the system or have questions about the application process, please contact the University’s Equal Employment Opportunity office at (919)-962-1091 or send an email to firstname.lastname@example.org.
Please note: The Equal Employment Opportunity office will not be able to provide specific updates regarding position or application status.
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