|CCL 17.06.16 Postdoctoral Appointee: Tackling Chemical Materials and Biochemical Challenges in the Exascale Era|
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To: jobs at ccl.net
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 implementations. 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 systems. 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: http://bit.ly/2twwLIe You can also apply through the website at www.anl.gov/careers and find requisition 402083 in our LCF Division.NOTE THAT E-MAIL ADDRESSES HAVE BEEN MODIFIED!!!
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