[ES_JOBS_NET] Postdoctoral Scholar –Modeling Vegetation Dynamics and Disturbance Across California

[Lara Kueppers]

Hi all,

I have started to review applications for the below postdoctoral 
position open at UC Berkeley, in collaboration with Chonggang Xu at LANL 
and others, but am taking applications until Aug 13. Exact start date is 
negotiable although we're eager to get someone into the position. Please 
circulate to great candidates!

For more information and to apply, visit: 
https://aprecruit.berkeley.edu/apply/JPF01773

Here's a brief description of the overall project: 
https://www.ioes.ucla.edu/project/future-california-drought-fire-forest-dieback/

I am also looking for graduate students to work on the project through 
the Energy and Resources Group <https://erg.berkeley.edu/>.

Best,

Lara



*Final date: Aug 13*th, 2018
Applications will continue to be accepted until this date, but those 
received after the review date will only be considered if the position 
has not yet been filled.


      Description

The University of California, Berkeley invites applications for a 
Postdoctoral Scholar position starting Summer/Fall 2018. Climate, water 
balance, vegetation and fire are tightly interlinked across California’s 
landscape and must be studied together to gain understanding of changes 
in each component. The candidate will play a central role in a project 
funded by the UC National Laboratory Fees Research Program to develop, 
test and apply a cutting-edge demographic, dynamic vegetation model of 
California’s ecosystems as part of a high- resolution regional modeling 
system. Goals of the project include modeling the 2011–2015 drought and 
its effects on tree mortality and fire, modeling tree mortality and fire 
under future drought and climate change, and understanding effects of 
management on future vegetation and fire risk. The candidate will work 
in collaboration with Dr. Lara Kueppers of the Energy and Resources 
Group at UC Berkeley and Dr. Chonggang Xu at Los Alamos National 
Laboratory (LANL), as well as project collaborators at UCLA, Lawrence 
Berkeley National Laboratory, NCAR, UC Irvine, UC Davis, and UC 
Extension to utilize high-resolution regional atmospheric forcing and 
evaluate model vegetation output with historical field and remotely 
sensed observations. The modeling framework is the Functionally 
Assembled Terrestrial Ecosystem Simulator (FATES) 
(https://github.com/NGEET/fates-release), which is embedded within the 
CLM5 land surface model, and includes the SPITFIRE model of fire spread. 
The postdoc will be located at UC Berkeley but will have opportunities 
to also work at LANL.

Basic Qualifications
• Advanced degree or enrolled in advanced degree program at the time of 
application

Additional Qualifications
• PhD (or equivalent international degree) required by the start date

Preferred Qualifications (by start date)
• Demonstrated background in ecological theory and/or systems-based 
modeling approaches
• Expertise in disturbance ecology, wildland fire, forest dynamics, or 
landscape ecology
• Experience in quantitative modeling and analysis of large datasets, 
such as remotely sensed data products, eddy covariance time-series, 
forest inventory time-series
• Demonstrated coding experience, e.g., in R, Python, or Matlab, and 
analytical skills & coding
experience in Fortran and R
• Demonstrated ability to produce scientific results and to publish 
papers in international peer-reviewed journals
• Demonstrated ability to work independently and collaboratively as part 
of a team

Appointment
The targeted start date for this position is August 2018. The initial 
appointment is for one year, with possibility of renewal based on 
performance and funding availability. This is a full-time appointment.

Salary and Benefits
The annual salary range for this position is $49,188 to $57,528. Salary 
will be commensurate with qualifications and experience level and based 
on UC Berkeley salary scales. Generous benefits are included: 
https://vspa.berkeley.edu/postdoc-health-insurance-and-benefits

To Apply
Visit https://aprecruit.berkeley.edu/apply/JPF01773

Interested individuals should include a one-page cover letter, a 
one-page statement of research outlining your research interests along 
with a current CV and the names and contact information of three 
references. Letters of reference may be requested for finalists. It is 
optional to include a statement addressing past and/or potential 
contributions to diversity through research, teaching, and/or service.

This recruitment will remain open until filled.

Questions regarding this recruitment can be directed to Lara M. 
Kueppers, lmkueppers at berkeley.edu <mailto:lmkueppers at berkeley.edu> or 
Chonggang Xu, cxu at lanl.gov <mailto:cxu at lanl.gov>

All letters will be treated as confidential per University of California 
policy and California state law. Please refer potential referees, 
including when letters are provided via a third party (i.e. dossier 
service or career center) to the UC Berkeley Statement of 
Confidentiality http://apo.berkeley.edu/evalltr.html prior to submitting 
their letters.

The University of California is an Equal Opportunity/Affirmative Action 
Employer. All qualified applicants will receive consideration for 
employment without regard to race, color, religion, sex, sexual 
orientation, gender identity, national origin, disability, age or 
protected veteran status. For the complete University of California 
Nondiscrimination and Affirmative Action Policy see:
http://policy.ucop.edu/doc/4000376/NondiscrimAffirmAct

The Department is interested in candidates who will contribute to 
diversity and equal opportunity in higher education through their 
research or teaching.

The University of California, Berkeley has an excellent benefits package 
as well as a number of policies and programs in place to support 
employees as they balance work and family.

-- 
Lara M. Kueppers
Assistant Professor, Energy & Resources Group, UC Berkeley
Faculty Scientist, Climate and Ecosystem Sciences Division, Berkeley Lab
510.486.5813 o.  510.457.6524 c.

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