[ES_JOBS_NET] Postdoc position on soil warming synthesis and modeling at Lawrence Berkeley National Laboratory

[Jing Tao]

Hi,

We are seeking a highly motivated postdoc to study the observed effects of
warming on soil and ecosystem carbon cycling with mechanistic models and
machine learning approaches!

https://jobs.lbl.gov/jobs/postdoctoral-fellow-6388

Please share this job post with any potential candidates. Thank you very
much!

JOB DESCRIPTION:

Lawrence Berkeley National Lab’s (LBNL <https://www.lbl.gov/>) Climate &
Ecosystems Division has an opening for a Postdoctoral Fellow to join the
team.

The Climate and Ecosystem Sciences Division of Berkeley Lab has an exciting
opportunity for a postdoctoral scientist to participate in an international
working group analyzing deep soil warming experiments across the world. In
this exciting role, you will apply mechanistic and machine learning models
to study observed effects of warming on soil and ecosystem carbon cycling
and the mechanisms shaping the soil response, and to estimate potential
soil carbon feedbacks with climate. The project encourages collaboration
with a wide range of scientists, from graduate students to senior
researchers, studying soil biogeochemistry under warming, how to best
represent these processes in models, and how to use the models to
extrapolate in space and time. Although the position is based out of
Berkeley Lab, the successful candidate will also work closely with
researchers at the Institute for Global Change Biology at the University of
Michigan.


Click here to apply: https://jobs.lbl.gov/jobs/postdoctoral-fellow-6388


*What You Will Do:*

   - Synthesize observations from global soil warming experiments to inform
   model structure, calibration, and testing.
   - Design and carry out model-based experiments, using model simulations
   to explore questions regarding the role of soils in terrestrial responses
   to global change, including soil carbon dynamics and CO2 exchange with
   the atmosphere.
   - Improve and apply mechanistic and machine learning models for
   terrestrial processes.
   - Evaluate biogeochemical interactions and their effects on carbon and
   energy exchanges with the atmosphere.
   - Work creatively, independently, and productively.
   - Work as a member of a large multidisciplinary research team.
   - Author peer-reviewed journal articles and present work at conferences
   and meetings.

*What is Required:*

   - Scientific background in Earth system science with knowledge of
   terrestrial ecosystem ecology and soil science.
   - Strong numerical modeling skills.
   - Ability to design model experiments, visualize large data sets, and
   analyze results.
   - Demonstrated ability to develop and deliver oral and written
   presentations of results.
   - Record of scientific publications.

*Desired Qualifications:*

   - Knowledge and use of terrestrial biogeochemical models.
   - Ability to collaborate with others in multi-disciplinary projects.
   - Commitment to working safely.

*Want to learn more about Berkeley Lab's Culture, Benefits and answers to
FAQs? Please visit: **https://recruiting.lbl.gov/*
<https://recruiting.lbl.gov/>

*Notes:*

   - This is a full-time 2 year, postdoctoral appointment with the
   possibility of renewal based upon satisfactory job performance, continuing
   availability of funds and ongoing operational needs. You must have less
   than 3 years of paid postdoctoral experience. Salary for Postdoctoral
   positions depends on years of experience post-degree.
   - This position is represented by a union for collective bargaining
   purposes.
   - The monthly salary range for this position is $6,476.00 - $8,326.00
   and is expected to start at $6,476.00 or above. Postdoc positions are paid
   on a step schedule per union contract and salaries will be predetermined
   based on postdoctoral step rates. Each step represents one full year of
   completed post-Ph.D postdoctoral and/or related research experience.
   - This position may be subject to a background check. Any convictions
   will be evaluated to determine if they directly relate to the
   responsibilities and requirements of the position. Having a conviction
   history will not automatically disqualify an applicant from being
   considered for employment.
   - Work will be primarily performed at Lawrence Berkeley National Lab, 1
   Cyclotron Road, Berkeley, CA.

Berkeley Lab is committed to Inclusion, Diversity, Equity and
Accountability (IDEA) <https://diversity.lbl.gov/ideaberkeleylab/> and
strives to continue building community with these shared values and
commitments. Berkeley Lab is an Equal Opportunity and Affirmative Action
Employer. We heartily welcome applications from women, minorities,
veterans, and all who would contribute to the Lab's mission of leading
scientific discovery, inclusion, and professionalism. In support of our
diverse global community, all qualified applicants will be considered for
employment without regard to race, color, religion, sex, sexual
orientation, gender identity, national origin, disability, age, or
protected veteran status.

Equal Opportunity and IDEA Information Links:

Know your rights, click here
<http://www.dol.gov/ofccp/regs/compliance/posters/ofccpost.htm> for the
supplement: Equal Employment Opportunity is the Law and the Pay
Transparency Nondiscrimination Provision
<https://www.dol.gov/sites/dolgov/files/ofccp/pdf/pay-transp_%20English_formattedESQA508c.pdf>
under
41 CFR 60-1.4.
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