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September 2017
Message 68

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[Met-jobs] Postdoc: Terrestrial Carbon Cycle Data Assimilation

From Roger Brugge <r.brugge@reading.ac.uk>
To "met-jobs@lists.reading.ac.uk" <met-jobs@lists.reading.ac.uk>
Date Wed, 20 Sep 2017 09:00:25 +0000

A post-doctoral position is available in the Ecological Forecasting lab at 
Boston University as part of a larger project to develop a terrestrial carbon 
cycle data assimilation system, focused initially on North America, using the 
PEcAn model informatics system (pecanproject.org). This system will employ a 
formal Bayesian model-data fusion between bottom-up process-based ecosystem 
models and multiple data sources to estimate key C pools and fluxes.

Duties:

Candidate will work with collaborators at Brookhaven to iteratively extend the 
PEcAn data assimilation system to ingest a wide range of remotely-sensed and 
ground data with the goal of fusing and reconciling multiple data streams into 
a continental-extent carbon cycle (pools and fluxes) data product. They will be 
responsible for incorporate new scaling approaches into the data assimilation 
system itself and extending the assimilation to work with multiple land surface 
models. They will contribute to analyses assessing the impacts of different 
data sources and models on carbon pool and flux estimates and uncertainties, 
with the aim of improving carbon monitoring, reporting, and verification. 
Finally, the candidate will also assist collaborators at NOAA who will be 
incorporating the bottom-up assimilation product into the 
CarbonTracker-Lagrange (CT-L) inverse modeling framework to help reconcile 
top-down and bottom-up flux estimates.

Qualifications:

Minimum qualifications are a doctoral degree in a related environmental science 
(ecology, geography, atmospheric science, earth science, etc.). Experience with 
R and at least one of the following topics is required (along with interest in 
learning the others):
Bayesian statistics, ensemble filtering approaches (e.g. EnKF), ecosystem or 
land surface modeling, remote sensing, and ecoinformatics. Salary is 
commensurate with experience and qualifications. Three years of funding 
available.

Interested applicants are encouraged to submit a cover letter, CV, and contact 
info for 3 references to Dr. Michael Dietze (dietze at bu.edu). More 
information about the Ecological Forecasting lab is available at 
http://people.bu.edu/dietze

Boston University is an Equal Opportunity/Affirmative Action Employer.



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