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Date: Fri Jun 16 15:58:17 2017
Subject: 17.06.16 Postdoctoral Appointee: Tackling Chemical Materials and Biochemical Challenges in the Exascale Era
Job Description

The mission of the Argonne Leadership Computing Facility (ALCF) is to 
accelerate major scientific discoveries and engineering breakthroughs for 
humanity by designing and providing world-leading computing facilities in 
partnership with the computational science community. We help researchers 
solve some of the worlds largest and most complex problems with our 
unique combination of supercomputing resources and expertise.

We invite you to apply for a postdoctoral appointee position with the ALCF.
You will research and develop massively parallel scientific codes that 
implement advanced quantum chemistry models as applied to the development 
of advanced biofuels: design of feedstock for efficient production of 
biomass; and design of new catalysts for converting biomass-derived 
chemicals into fuels.

You will join the Computational Science (Catalyst) group in ALCF; this is 
a highly collaborative environment involving science application teams, 
academia, industry as well as other national laboratories and agencies. 
The chosen applicant will have a rare chance to learn and exploit some of 
the worlds largest supercomputers, and use state-of-the-art techniques on 
current and upcoming supercomputing systems to help solve significant 
real-world problems.

Position Requirements:

Ideal candidates are expected to have:

PhD + 0-3 years in computational sciences including chemistry, physics, 
and engineering, or in a related field.

Comprehensive knowledge of numerical methods, parallel programming with 
pthreads, OpenMP, and MPI.

Comprehensive experience programming in one or more programming languages,
especially Fortran, C, C++, and Python.

Considerable knowledge of parallel algorithms, distributed memory 
architectures, and parallel performance evaluation of domain specific 

Candidate should have the ability to create, maintain, and support 
high-quality software. An ideal candidate would have published their 
scientific software in a public repository (i.e., GitHub).

Good communication skills both verbal and written.

Considerable independent judgment and critical thinking.

Desirable Knowledge and Skills:

Considerable knowledge of (and experience with) quantum chemistry 
techniques, especially coupled cluster methods, Hartree-Fock and Density 
Functional Theory methods.

Expert level knowledge of (and experience with) C++ and parallel runtime 

Good experience and skills in interdisciplinary teams involving 
mathematicians, computer scientists, and discipline scientists.

Collaborative skills including the ability to work well with other 
laboratories and universities, supercomputer centers, and industry.

Good publication record, preferably including first-author publication(s).

Experience with scientific applications that scale to several thousand 
MPI processes on massively parallel platforms.

As an equal employment opportunity and affirmative action employer, Argonne
National Laboratory is committed to a diverse and inclusive workplace that
fosters collaborative scientific discovery and innovation. In support of 
this commitment, Argonne encourages minorities, women, veterans and 
individuals with disabilities to apply for employment. 
Argonne considers all qualified applicants for employment without regard 
to age, ancestry, citizenship status, color, disability, gender, gender 
identity, genetic information, marital status, national origin, pregnancy,
race, religion, sexual orientation, veteran status or any other 
characteristic protected by law.
To apply visit this URL: 

You can also apply through the website at and find
requisition 402083 in our LCF Division.
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