Research Assistant or Research Associate in Land Surface
Modeling and Soil Moisture Scaling
Summary: A postdoctoral position is available to evaluate
the performance of the Joint UK Land Environment Simulator
(JULES) in reproducing soil moisture dynamics and
key land-atmosphere interactions in the UK at hyper-spatial
resolution in combination with novel cosmic-ray soil
moisture technology and remote sensing products. A PhD in
meteorology/hydrology or related disciplines (e.g.
environmental science) with an interest
in land-atmosphere interactions, numerical modeling, remote
sensing, and data assimilation is essential.
This 30-month appointment (with potential extension to 36 months)
is part of the NERC-funded project AMUSED (A MUlti-scale Soil
moisture-Evapotranspiration Dynamics study) whose ultimate goal
is to identify the spatiotemporal scale-dependency of key dominant
processes that control changes in soil moisture and
land-atmosphere interactions. AMUSED will employ new innovative
technology for soil moisture monitoring using cosmic-rays sensors
in combination with land surface modeling, satellite remote
sensing, and data assimilation methods. Some fieldwork will
take place, especially at the initial stages of the project to
deploy and install/calibrate cosmic-ray soil moisture sensors. For
more information about AMUSED, please visit http://ift.tt/1m6bZdM.
Required skills include experience using land surface
models (e.g., JULES, CLM, Noah, VIC) to predict
some programming knowledge (e.g., Fortran or C) and experience
with Linux operating system, demonstrated ability to publish
peer-reviewed papers, effective written and oral communication
skills, willingness to work in a team, in an academic
research environment, and development collaborative links.
Desired skills include knowledge of hydrometeorology,
land-atmosphere interactions, data assimilation and/or remote
sensing, and some previous experience with fieldwork activities.
For informal inquiries, please contact Dr Rafael Rosolem (firstname.lastname@example.org)To apply, please visit http://bit.ly/1wor2CP