[ES_JOBS_NET] Two postdoc positions on snow vegetation interactions and fusion of vegetation dynamic models with lidar measurements

[Wenge Ni-meister]

Hunter College of The City University of New York, in conjunction with the NASA Goddard Institute for Space (GISS), is seeking two postdoc positions on two NASA-funded projects.

Position 1 - Snow-Vegetation Interactions Postdoc Position:

Successful candidate will work on a NASA-funded project on land surface snow albedo as influenced by the interaction between snow vegetation canopy structure in high latitude boreal regions.  The project will require modeling effort and remote sensing data analysis. The postdoctoral researcher will work with a snow radiative transfer model coupled with a geometric-optical radiative transfer (GORT) canopy model in the GISS GCM’s demographic dynamic global vegetation model, the Ent Terrestrial Biosphere Model (Ent TBM) to evaluate the integrated snow-vegetation radiative transfer physics. The candidate will conduct off-line and coupled model experiments to analyze the impact of vegetation heterogeneity and snow properties on surface albedo-climate feedbacks.
The remote sensing effort includes analyzing the interplay between vegetation and snow using observed surface albedo and snow cover and water, a vegetation structure dataset developed from ICESat/GLAS, and a forthcoming version of the vegetation dataset with increasingly complex community structure at high spatial resolution derived from ICESat-2 and GEDI data.

 More information can be found at http://www.geo.hunter.cuny.edu/~wenge/ and https://www.giss.nasa.gov/projects/ent/

Required skills -

  *   A Ph.D. in Earth system and environmental science, hydrology, environmental engineering, or a closely related field
  *   Strong background in applied math, scientific programming with python, R, Fortran in Linux environment
  *   Familiarity with radiative transfer theory and land surface modeling
  *   Experience with designing and conducting offline and coupled land-atmosphere model experiments
  *   Ability to work with large datasets and analyze off-line and coupled -atmosphere model outputs
  *   Strong written and oral communication skills

Required tasks -

  *   Coupling a canopy and snow radiative transfer models
  *   Designing and conducting off-line and coupled land-atmosphere models
  *   Analyzing modeling outputs
  *   Writing up and publishing findings within relevant scientific journals
  *   Communicating findings via oral and poster presentations

  *   Demonstrated ability to work in teams and independently.

Position 2 – Ent and GEDI Fusion Postdoc Position

Successful candidate will work on a NASA funded project to examine how specification of vegetation canopy heterogeneity observed by the Global Ecosystem Dynamics Investigation (GEDI) mission improves our ability to predict carbon stocks and fluxes, surface albedo and community dynamics of a demographic Dynamic Global Vegetation Model DGVM (dDGVM), the Ent Terrestrial Biosphere Models (Ent TBM),
The candidate will work with both GEDI data and Ent TBM model.  More information can be found at http://www.geo.hunter.cuny.edu/~wenge/ and https://www.giss.nasa.gov/projects/ent/

Required skills -

  *   A Ph.D. in ecology, environmental science, or a closely related field
  *   Strong background in applied math, scientific programming with python, R, Fortran in Linux environment
  *   Experience with ecosystem dynamic models and canopy radiative transfer models
  *   Ability to work with large datasets and analyze vegetation dynamic model outputs
  *   Experience with full waveform lidar data is ideal, but not required
  *   Excellent written and oral communication skills
  *   Demonstrated ability to work in teams and independently.

To apply, please send your curriculum vitae and a research statement with a list of three references to: Dr. Wenge Ni-Meister (Wenge.Ni-Meister at hunter.cuny.edu<mailto:Wenge.Ni-Meister at hunter.cuny.edu>). Review of applications will begin immediately and will continue until the positions are filled.


We are recruiting PhD students at Graduate Center of The City University of New York in the fields of (1) Snow-vegetation interactions in high latitude boreal regions using satellite observations (2) Vegetation structure characterization from Global Ecosystem Dynamics Investigation (GEDI)

Required skills -

  *   A BA in remote sensing, environmental science, and engineering, or a closely related field
  *   Strong math and computing skills, experienced with data analysis software tools such as Python, Google Earth Engine, Matlab, R, IDL ArcGIS, ENVI or similar
  *   Strong written and oral communication skills
Prospective students should contact Dr. Wenge Ni-Meister (Wenge.Ni-Meister at hunter.cuny.edu<mailto:Wenge.Ni-Meister at hunter.cuny.edu>) for details.


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