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HDGEC  November 2015

HDGEC November 2015

Subject:

Open Senior Research Scientists Positions in Climate Change Science at Oak Ridge National Laboratory. (fwd)

From:

Alex de Sherbinin <[log in to unmask]>

Reply-To:

Alex de Sherbinin <[log in to unmask]>

Date:

Wed, 25 Nov 2015 13:00:42 -0500

Content-Type:

multipart/mixed

Parts/Attachments:

Parts/Attachments

text/plain (265 lines) , Senior Scientist Position in Climate Change Data Integration, Dissemination, and Informatics.pdf.pdf (265 lines) , Senior Scientist Position in Climate Change Impacts, Adaptation, and Vulnerability.pdf.pdf (265 lines)

Two positions listed below and attached.

Senior Research Scientist in Climate Change Impacts, Adaptation, and
Vulnerability NB50526675
Posted Date
11/12/2015
End Posting Date
02/12/2016
Purpose
Oak Ridge National Laboratory (ORNL) has an opening in its Climate Change
Science Institute (CCSI -
http://climatechangescience.ornl.gov/) for a senior research scientist in
climate change impacts, adaptation, and vulnerability
(IAV). Depending on the successful candidate's expertise, an affiliation
with ORNL's Urban Dynamics Institute (UDI -
http://udi.ornl.gov) is also possible. Institutes at ORNL bring together
researchers from across the Lab to focus on complex
and novel interdisciplinary research projects. The CCSI focus is on Earth
system modeling, terrestrial ecosystem sciences,
environmental data management and informatics, and IAV research. The UDI
focus is on understanding complexity of urban
systems governed by physical and behavioral sciences. The CCSI and UDI
collaborate closely on research to better
understand the implications of climate change for conventional and renewable
energy systems and critical infrastructure, as
well as human populations in urban settlements. CCSI's IAV research extends
beyond urban systems to computational
modeling of climate change impacts at the land/water/energy nexus including
supply and demand, trade-offs associated with
alternative development pathways, economic valuation, and evaluation of
opportunities for adaptation. This includes
place-based research as well research with regional, national, or
international scope that integrates with other CCSI and UDI
research capabilities and strategic priorities. We are looking for a
nationally and internationally recognized thought leader to
help lead and grow ORNL's IAV research portfolio. The successful candidate
will have the opportunity to draw upon the
substantial expertise and tools available at the CCSI, UDI, and the Lab;
including one of the fastest and most capable
supercomputers in the world; world-class climate, population, and urban
dynamic models; sophisticated data management
and visualization tools; and an exceptional research collaboration
environment.
Major Duties/Responsibilities
The successful candidate will lead IAV projects and staff that advance the
state-of-the art in the research, modeling, and
analysis of climate change impacts. This includes research and modeling on
the implications of climate change for human
and natural systems and infrastructure at local to national scales as well
as developing methods for analyzing the indirect
effects of such impacts on these systems and associated economic sectors. In
addition, the research will explore prognostic
methods for accounting for future socioeconomic change in the development
and siting of human and natural infrastructure
systems. The research will also explore opportunities for linking IAV
research to model development and analysis efforts
associated with an exascale climate model development project being
developed over the next few years. This model will
produce climate projections at scales useful for regional to local decision
making. A strong focus for both CCSI and UDI is
improving our understanding of how urban ecosystems impact the climate
system and are influenced by a changing climate
since urban areas have such a significant impact on energy and water use and
the production of greenhouse gases. Thus,
we are particularly interested in candidates that have experience and
interest in growing this important research area.
Candidates with background or interest in research at the energy-water nexus
are also of strong interest. Responsibilities will
include development of new research proposals, communication with research
sponsors, execution of research tasks,
supervision of support staff, and communication of research outcomes via
publications and professional presentations.
Qualifications Required
. Ph.D. in geography, environmental science, computational science, energy
science, engineering, urban and regional
planning, or economics
. Research experience in climate change impact assessment and/or modeling
including application of climate model
simulation data
. Track record of research excellence as measured by research grants,
peer-reviewed publications, and service to the IAV
research community
. Excellent written and verbal communication skills
. Ability to lead and work effectively with interdisciplinary research teams
. Eligibility to work in the United States
Preferred Qualifications:
. +10 years beyond Ph.D.
. Experience with stakeholder engagement and science communication
. Experience mentoring early career researchers
. Project management experience
. Experience with "big data", data mining, high performance computing, and
visualization-driven analysis
. Interest and experience in using data to better understand how urban
ecosystems impact the climate system and are
influenced by a changing climate
. Interest and experience working on problems at the land-energy-water nexus
. Interest and experience working on preparing society for and improving
resiliency to extreme events
Additional Information:
All candidates must submit:
(1) A Statement of Research that briefly describes your current research and
technical background, and what research you
would see pursuing at ORNL
(2) Three Letters of Reference describing your contributions to your field
of research
(3) Funding History
Recruiter will provide further guidance regarding at what time in the
process this information needs to be submitted.
ORNL is an equal opportunity employer. All qualified applicants, including
individuals with disabilities and protected veterans,
are encouraged to apply.
This position will remain open for a minimum of 5 days after which it will
close when a qualified candidate is identified and/or
hired.
We accept Word(.doc, .docx), Excel(.xls, .xlsx), PowerPoint(.ppt, .pptx),
Adobe(.pdf), Rich Text Format(.rtf), HTML(.htm,
.hmtl) and text files(.txt) up to 2MB in size. Resumes from third party
vendors will not be accepted; these resumes will be
deleted and the candidates submitted will not be considered for employment.
If you have trouble applying for a position, please email
[log in to unmask]
Notice: If the position requires a Security Clearance, reviews and tests for
the absence of any illegal drug as defined in 10
CFR 707.4 will be conducted by the employer and a background investigation
by the Federal government may be required
to obtain an access authorization prior to employment and subsequent
reinvestigations may be required.
If the position is covered by the Counterintelligence Evaluation Program
regulations at 10 CFR 709, a counterintelligence
evaluation may include a counterintelligence-scope polygraph examination.
ORNL is an equal opportunity employer. All qualified applicants, including
individuals with disabilities and protected
veterans, are encouraged to apply. UT-Battelle is an E-Verify Employer.




Job Posting Title
Senior Research Scientist in Climate Change Data Integration, Dissemination,
and Informatics NB50526657
Posted Date
11/12/2015
End Posting Date
02/12/2016
Purpose
The Climate Change Science Institute (CCSI -
http://climatechangescience.ornl.gov/) and National Center for Computational
Science (NCCS - http://computing.ornl.gov/nccs.shtml) at the Oak Ridge
National Laboratory (Lab) have an opening for a
senior research scientist in data integration, dissemination, and
informatics (DIDI). Institutes and centers bring together
expert researchers and tools from across the Lab to focus on complex and
novel interdisciplinary research projects. The
CCSI focus is on Earth system modeling; terrestrial ecosystem sciences;
environmental data management; and impacts,
adaptation, and vulnerability research. The NCCS focus is on using novel and
state-of-the-art computer and computational
approaches to help researchers deliver new scientific knowledge in a range
of scientific areas including climate. The CCSI
and NCCS collaborate closely on research to better understand the climate
system and the implications of climate change.
The current DIDI mission is ensuring that researchers addressing climate
change and its effects can readily discover and use
data. The CCSI curates more than 10,000 diverse environmental and climate
data sets and many tools for their
management, navigation, and analysis, including atmospheric radiation
measurements about cloud formation and its
influence on heat transfer; carbon dioxide and other atmospheric trace gases
of interest to climate studies, and a broad range
of biogeochemical data. These data are regularly used by world-class
researchers and cited in the Intergovernmental Panel
on Climate Change's assessment reports. The DIDI effort optimizes strategies
for proactively supporting integrated
experiment-observation-modeling (MODEX) research and for coping with the
variety, velocity, and volume of big data that
climate and environmental sciences generate.
We are looking for a nationally and internationally recognized thought
leader to help lead and grow the DIDI research efforts.
This person will help us solve the "big data" problem associated with
studying the climate system and how natural and human
systems influence and are impacted by a changing climate. A key focus will
be identifying, accessing, and using data in
novel ways to address some of the most pressing challenges facing humankind.
The successful candidate will be able to
draw upon the substantial expertise and tools available at the CCSI, NCCS,
and the Lab; including one of the fastest and
most capable supercomputers in the world; world-class climate, population,
and urban dynamic models; sophisticated data
management and visualization tools; and an exceptional collaborative
research environment.
Major Duties/Responsibilities
The successful candidate will lead DIDI research projects and staff that
advance the use of data, informatics, data
architectures, and computational approaches to better understand and solve
climate-related challenges facing humankind.
The candidate will develop data infrastructure and capabilities to support
the full data lifecycle of how models, experiments,
and observations are integrated together to advance climate science; ensure
that these systems complement existing and
emerging community data activities and requirements; and anticipate
innovative community data tools needed by the climate
research community.
The research will also explore opportunities for linking DIDI research to
model development and analysis efforts associated
with the Department of Energy Office of Science's next generation, exascale
climate model development project called the
Accelerated Climate Model for Energy. This model will produce enormous
amounts of data and information at scales useful
for regional to local decision-making. A strong focus for both CCSI and NCCS
is improving our understanding of how urban
ecosystems impact the climate system and are influenced by a changing
climate since urban areas have such a significant
impact on energy and water use and the production of greenhouse gases. Thus,
we are particularly interested in candidates
that have experience and interest in growing the data, informatics, and
computational approach associated with this
important research area. Candidates with background or interest in research
at the energy-water nexus are also of strong
interest. Responsibilities will include development of new research
proposals, communication with research sponsors,
execution of research tasks, supervision of support staff, and communication
of research outcomes via publications and
professional presentations.
Qualifications Required
Qualifications Required:
. Ph.D. in data, informatics, or computational science and relative domain
(e.g., climate, environmental, etc.) with strong
computational and data backgrounds
. Research experience in optimizing the use of big data, data mining, data
visualization data architectures, and computational
approaches in novels ways to better understand and solve climate-related
challenges facing humankind
. Track record of research excellence as measured by research grants,
peer-reviewed publications, and service to the DIDI
research community
. Excellent written and verbal communication skills
. Ability to lead and work effectively with interdisciplinary research teams
. Eligibility to work in the United States
Preferred Qualifications:
. +10 years beyond Ph.D.
. Experience with stakeholder engagement and science communication
. Demonstrated success mentoring early career researchers
. Project management experience
. Interest and experience in using data to better understand how urban
ecosystems impact the climate system and are
influenced by a changing climate, the energy-water nexus, and preparing
society for and improving resiliency to extreme
events
Work Directions and Interfaces
All candidates must submit:
(1) A Statement of Research that briefly describes your current research and
technical background, and what research you
would see pursuing at ORNL
(2) Three Letters of Reference describing your contributions to your field
of research
(3) Funding History
Recruiter will provide further guidance regarding at what time in the
process this information



*************************************************************************
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