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Argonne National Laboratory Postdoctoral Appointee Regional scale climate modeling in Lemont, Illinois

Postdoctoral Appointee Regional scale climate modeling

Requisition Number: 408759 Location: Lemont, IL

Functional Area: Research and Development Division: EVS-Environmental Science

Employment Category: Temporary 6 Months or Greater Education Required: Not Indicated

Level (Grade): 700 Shift: 8:30 - 5:00 Share: Facebook LinkedIn Twitter

This post-doctoral appointment in the Environmental Science Division of the Argonne National Laboratory will involve methodological and applied research in regional scale climate modeling. In particular, the focus will be on high-resolution dynamic downscaling, hydrological modeling, impacts and assessments. For this position, we are looking for applicants with experience in regional scale models of hydrology, (e.g. WRF-Hydro). Expertise in working with large datasets on high-performance computing resources is required.

Please use the following link to directly apply:

Applications will be considered as they arrive and with a likely start date in October 2020. This will be a two-year position. The successful applicant will be required to provide 3 letters of reference and university transcripts.

A recent (graduated in the last 3 years) Ph.D. in engineering, or physical sciences related to Atmospheric Sciences or Hydrometeorology. Strong programming skills and good written and oral communication skills.

As an equal employment opportunity and affirmative action employer, and in accordance with our core values of impact, safety, respect, integrity and teamwork, Argonne National Laboratory is committed to a diverse and inclusive workplace that fosters collaborative scientific discovery and innovation. In support of this commitment, Argonne encourages minorities, women, veterans and individuals with disabilities to apply for employment. Argonne considers all qualified applicants for employment without regard to age, ancestry, citizenship status, color, disability, gender, gender identity, genetic information, marital status, national origin, pregnancy, race, religion, sexual orientation, veteran status or any other characteristic protected by law.

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