[ES_JOBS_NET] Postdoctoral Associate in Computational Climate Science, Oak Ridge National Laboratory’s Leadership Computing Facility
christin at ucar.edu
Fri Oct 16 11:16:18 MDT 2015
Distinguished Postdoctoral Associate in Computational Climate Science
The Oak Ridge National Laboratory’s Leadership Computing Facility (OLCF)
has the charge to develop and apply transformational computational
science capabilities in support of dramatic advances in our
understanding of the physical world and using that knowledge to address
the most pressing national and international concerns. As a designated
User Facility, the OLCF hosts one of the most powerful computers in the
world and delivers an unparalleled environment in which to make new
discoveries that will dramatically impact the nation’s ability to
produce a secure energy economy and increase mankind’s fundamental
understanding of our world. The facility has a goal of assisting in
creating the next generation of computational scientists using current
and emerging high-end computing resources to tackle the most demanding
scientific challenges of tomorrow, and is seeking to grow their current
postdoctoral fellowship program and develop the next generation
computational science workforce with strong expertise in individual
science domains, as well as expertise in the programming models needed
for the development of methods and their implementation on state of the
art, high-end computational resources.
A Distinguished Postdoctoral Associate position in Computational Climate
Science is available immediately for candidates interested in and
capable of performing leading-edge computational climate science
research and development. Priorities include the development of
methodologies and their efficient massively parallel implementation on
current state-of-the-art accelerated computer architectures, as well as
their application on large scientific challenge problems.
The successful candidates will be mentored and teamed with staff in the
Scientific Computing Group in the OLCF. They will collaborate with
leading computer and computational scientists at ORNL in the development
and application of new computational techniques specifically targeted at
the Accelerated Climate Model for Energy (ACME) program of the DOE
Office of Science. Appointments will be for one year, with the
possibility of renewal for a second year, depending on performance and
the availability of funding.
• Work closely with ORNL researchers in using the resources of the OLCF
effectively and efficiently, including:
- Developing and porting of scalable science applications and algorithms
for OLCF and other leadership computers.
- Debugging and tuning applications for high performance.
- Applying large-scale computational methodologies to meet scientific
objectives of the ACME program.
• Conduct research and report results in journal publications,
conference papers and technical manuals.
Postdoctoral candidates with a strong computational science background
in Computational Climate Science or related field will be considered. In
addition, candidates should have interest in application development
techniques (programming models, algorithms, software) at scale (large
processor counts). The position requires a Ph.D. degree in a
Computational Climate Science or related discipline, earned no more than
five years prior to the date of the application. Excellent interpersonal
skills, oral and written communication skills, organizational skills,
and strong personal motivation are necessary. The ability to work in a
dynamic, team environment is required.
Experience with one or more prominent computational science software
packages is highly desirable. The ideal candidate would be familiar with
common scientific programming languages such as C/C++ and/or FORTRAN,
and have experience with or interested in CUDA, OpenCL, and OpenACC
compiler directives, vectorization, MPI, and one-sided asynchronous
programming models. Experience in heterogeneous computing, developing
and debugging massively parallel algorithms and code performance
profiling is desirable.
Applicants cannot have received their Ph.D. more than five years prior
to the date of application and must complete all degree requirements
before starting their appointment. Certain exceptions may be considered.
This appointment will initially be for 24 months with a possibility of
an extension of up to 12 months. Initial appointments and extensions are
subject to performance and availability of funding. This position will
remain open for a minimum of 5 days after which it will close when a
qualified candidate is identified and/or
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
ORNLRecruiting at ornl.gov <mailto:ORNLRecruiting at ornl.gov>. 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.
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