[ES_JOBS_NET] Postdoctoral Associate in Computational Climate Science, Oak Ridge National Laboratory’s Leadership Computing Facility

Christine Wiedinmyer 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.

Major Duties/Responsibilities

• 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.

Qualifications Required

Minimum Qualifications:

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.

Preferred Qualifications:

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.

Additional Information:

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.

-------------- next part --------------
An HTML attachment was scrubbed...
URL: http://mailman.ucar.edu/pipermail/es_jobs_net/attachments/20151016/55acc4a2/attachment.html 

More information about the Es_jobs_net mailing list