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美國(guó)勞倫斯伯克利國(guó)家實(shí)驗(yàn)室生態(tài)系統(tǒng)模擬博士后招收

時(shí)間:2013-09-09來源:博士人才網(wǎng) 作者:91boshi

Climate Change Postdoctoral Fellow (Tropics)Lawrence Berkeley National Laboratory - Berkeley, CA

POSITION SUMMARY

The Climate Sciences Department in the Earth Sciences Division at Lawrence Berkeley National Laboratory (LBNL) has an exciting opportunity for a postdoctoral researcher to study climate change impacts on tropical forests. An important goal of this work will be the improvement and testing of forest ecosystem models in ESMs. We seek talented applicants with strong skills in (1) terrestrial ecosystem model development and algorithm coding; (2) the application of models to address complex questions at the interface of land-atmosphere interactions, ecosystem processes, vegetation demography, and ecophysiology; (3) sensitivity analysis and uncertainty quantification; and (4) the analysis and interpretation of large complex datasets (e.g., CMIP5). Specific research questions include:

Q1: What are the key uncertainties associated with the old-growth tropical forest carbon sink and how can we improve model treatment of these processes?

Q2: How do land models currently treat drought-induced mortality, and what structures are required to improve forest response to altered precipitation patterns?

Q3: How will shifts in gap-phase dynamics and community composition under elevated disturbance regimes act to amplify climate system feedbacks?

The successful applicant will join a large dynamic multi-disciplinary department that is making climate and carbon cycle observations, and developing and applying ecosystem, atmospheric process, and climate models. LBNL is a renowned center of scientific expertise in many facets of climate-related fundamental and applied science. The position is open immediately.

DUTIES/RESPONSIBILITIES

Coding, development and use of state-of-the-art terrestrial ecosystem models to address complex Earth system questions

Uncertainty and sensitivity quantification, and the use of existing experimental and observational datasets to evaluate existing and novel model structures and parameterizations

Ability to work in a multidisciplinary team environment.

Author peer-reviewed journal articles and contribute to grant proposals

POSITION QUALIFICATIONS

Ph.D. in an appropriate discipline

Graduate Student or Postdoctoral research experience in ecosystem modeling and/or analysis and interpretation of complex datasets.

Excellent written and oral communication skills

Established record of peer reviewed articles

Preferred

Research activities focused on tropical forests

Specific modeling skills in ecosystem demography, dynamic vegetation, plant water relations, ecophysiology, gap dynamics, and related processes

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