September 2018
Message 77

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[Met-jobs] U Washington & Lawrence Berkeley Lab - ecosystem modeling postdoc

From Qing Zhu <>
Date Wed, 26 Sep 2018 09:32:08 -0700

The University of Washington (UW) and Lawrence Berkeley National Laboratory (LBNL) have an opening for a modeling postdoctoral researcher with expertise in modeling and analyzing permafrost soil thermal, hydrological, and biogeochemical processing. As part of this multi-institutional project, the successful candidate will be an employee of UW and administratively supervised by the project lead (Dr. Rebecca Neumann) but will be physically located at LBNL and scientifically supervised by modeling lead (Dr. Qing Zhu). The position calls for expertise in numerical methods (model development) for soil thermal, hydrological, biogeochemical modeling, uncertainty quantification, and parameter estimation. The position offers an excellent environment for working with a highly skilled interdisciplinary team and will require strong motivation and excellent oral and written communication skills.


The successful candidate may focus on permafrost soil thermal-hydrological dynamics and their coupling with ecosystem carbon and nitrogen cycles. We are particularly interested in 1) improving earth system land model representation of how soil thermal and hydrological processes interact to affect ecosystem green house gas emissions (e.g., CO2, CH4) currently and in the future and 2) developing benchmark datasets and tools to evaluate models at the process level.


The work will require an applicant with a wide range of skills: (1) use of state-of-the-art earth system land models; (2) development and testing of numerical representations of complex processes suitable for site, regional, and global scale models; (3) application of state-of-the-art parameter uncertainty and calibration methods; (4) oral and written presentation of results; and (5) ability to work well as part of a large research team.


This full-time position is expected to start in January 2019. Initial appointment length is 12 months, and could be extended to three years, subject to satisfactory performance. Salary for this position is $65K/year. To apply please sent proof of PhD conferral, a current CV, contact information for at least three references and .



Essential responsibilities:


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