Applications are now being accepted for a 2-year NICHD post-doctoral research fellowship in
Developmental Science at the University of Michigan. The Developmental Area within the
Department of Psychology will award one post-doctoral fellowship with an ideal start date
between August 1 and September 15. The successful applicant must complete all requirements
for the PhD before the post-doctoral fellowship can begin; however, it is not necessary that the
degree be conferred before the start date.
The objective of the fellowship is to train individuals on three pillars of knowledge: (1)
developmental science of social context; (2) human neurobiology, which may include brain
imaging, genetics, epigenetics, and endocrine function; and (3) advanced research methods
(e.g., quantitative statistics appropriate for combining and analyzing longitudinal data from
different levels of functioning). This cross-training will produce researchers well-positioned to
develop cutting-edge work that advances knowledge about how neurobiological factors interact
with environmental contexts to influence development across several domains and contexts.
The Developmental Area faculty has a broad range of research interests across the life-span
from infancy to late adulthood. See full description for details.

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The postdoctoral Research Associate will conduct regional modeling with the Community Land Model (CLM) to improve prediction of climate-related stress, forest die-back, and effects of future climate and land management options on carbon uptake across the western US. It requires a Ph.D. in earth system science, ecophysiology, or related discipline, and a working knowledge of FORTRAN90 and a land system model or similar complex models.

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There is an immediate opening for a Postdoctoral Scholar in the area of trace gas flux measurements. The position involves the day-to-day responsibility for a methane, carbon dioxide and energy flux measurement study in the Sacramento – San Joaquin Delta, 50 miles east of Berkeley. The candidate
will be responsible in acquiring and processing eddy covariance data from a suite of restored wetlands and agricultural crops. Other duties include servicing, maintaining and calibrating instruments, field measurements of soil/plant status, the analysis and interpretation of field data and writing of scientific
papers. The ideal candidate must be able to work with a team of technicians, other postdocs and graduate students on this project.
BASIC QUALIFICATIONS
Candidates must have completed all degree requirements except the dissertation or be enrolled in an accredited PhD or equivalent degree program in Micrometeorology, Biometeorology, Ecosystem Ecology or related field at the time of application.
ADDITIONAL QUALIFICATIONS
Candidates must have a PhD or equivalent degree in Micrometeorology, Biometeorology, Ecosystem Ecology or related field by appointment start date.

PREFERRED QUALIFICATIONS
The ideal candidate should have a demonstrated understanding of micrometeorology, biometeorology, land, air and water resources, atmospheric sciences, ecosystem ecology or trace gas biogeochemistry. The ideal candidate should be fluent in database software and a computer language such as Matlab, C or Python and should have prior experience or training in measuring carbon, water and energy fluxes between the biosphere and atmosphere.
APPOINTMENT
The anticipated start date for this appointment is September 1, 2016. The initial appointment is for 12 months, with renewal based on performance and funding. This is a full-time appointment.
TO APPLY
Visit: (https://aprecruit.berkeley.edu/apply/JPF01100)

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The Institute of Astronomy, Geophysics and Atmospheric Sciences at the University of São Paulo wishes to appoint a Post Doc position with the purpose to investigate the role of the cloud forests in the watershed water balance using automatic field instrumentation at two experimental sites in southeast Brazil, in the montane regions of Serra da Mantiqueira and Serra do Mar, respectively. The work should assess the relevance of these forests in the regional water balance and their vulnerability to climate changes using modelling tools.

We are looking for a motivated researcher with PhD degree and related experiences in Tropical forest hydrology and ecology, Geoinformation science and other related fields, and interested in working in a multidisciplinary team. It is required a background of experience in field hydrometeorological instrumentation in forest environment, statistical analysis, understanding of tropical forest biomass dynamics, programming skills with GIS and R or similar softwares, species distribution modelling and hydrological modelling.

Grant: The opportunity is open to applicants of all nationalities who have PhD completed by the beginning of the fellowship period and not longer than 7 years before that. The selected candidate will receive a FAPESP Postdoctoral fellowship in a monthly amount of R$ 6,819.30 for 24 months, and a grant equivalent to 15% of the annual value of the fellowship which should be spent in items directly related to the research activity. For more information please visit: www.fapesp.br/en/5427.

The application deadline is 5th July, 2016. To apply please send email titled ´PD Fapesp IAG/USP´ to
LCB-ACA@iag.usp.br with the following attached files in pdf format:
1) Letter of application describing requested experiences and motivation in the project subject, and theme of the expansion plans.
2) Curriculum vitae.
3) Two recommendation letters with professional references.

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Postdoctoral Researcher position to investigate the biosphere-atmosphere gas exchange of biogenic volatile organic compounds (BVOCs) from terrestrial ecosystems. The two-year research position will entail measurements of net ecosystem fluxes of BVOCs at tower sites using relaxed eddy accumulation techniques.

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From Pore to Profile to Planet: Improving predictions of soil carbon dynamics through data-model synthesis: This research opportunity provides the chance for an innovative early-career scientist to make significant advances in our capacity to effectively model terrestrial carbon cycle responses to climate change. Research advisors: Corey Lawrence (clawrence@usgs.gov); Sasha Reed (USGS); Todd Hawbaker (USGS); Mark Waldrop (USGS); Crystal Ng (University of Minnesota). Proposed station: Denver CO, with potential for time in Moab UT and Menlo Park CA.

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