Computational Science Postdoctoral Fellowship - 75275
Organization: CR-Computational Research
The Scientific Computing Group in the Computational Research Division at
Lawrence Berkeley National Laboratory has an immediate postdoctoral
fellow opening in the area of development and applications of computational
algorithms enabling discovery and characterization of functional electronic
materials.
SPECIFIC RESPONSIBILITIES:
The successful candidate will participate in research activities focused on
development and applications of novel algorithms, approaches and software
in the area of material informatics. Of particular interest is the development
of capabilities 1) enabling enumeration, generation and characterization of
defects in crystals, as well as 2) enabling automatic structure analysis and
structural descriptor generation for efficient materials screening as well as
data mining. The successful candidate will help to integrate the developed
software into the Materials Project (http://www.materialsproject.org/),
enabling users worldwide to efficiently discover and characterize diverse
electronic materials. This person will be placed in a Scientific Computing
Group team led by Dr. Maciej Haranczyk and will collaborate with researchers
of the recently funded DOE BES Center for Functional Electronic Materials, in
particular, the groups of Prof. Mark Asta (UC Berkeley) and Dr. Kristin Persson (LBNL).
KEY SUCCESS FACTORS:
- Ph.D. in Cheminformatics/Material Informatics, Computational
Chemistry/Material Science, Computer Science, Applied Mathematics or a
related field within the last three years, with a strong background in
programming.
- A knowledge of crystal structure analysis (involving group theory, analysis
of symmetry, defects and topology of periodic structures) is highly desirable.
- Experience in cheminformatics/material informatics techniques (structure
enumeration, QSPR, data mining) as well as material modeling techniques is a plus.
- The successful candidate should be able to program proficiently in C/C++
and Python.
- Excellent communication skills and being able to work independently are
essential.
KEY SKILLS:
Scientific computing, Cheminformatics/Material informatics, Programming
(C/C++ and Python)
Equal Employment Opportunity: Berkeley Lab is an affirmative action/equal
opportunity employer committed to the development of a diverse workforce.
Apply directly online at http://bit.ly/lbl75275CCL and follow the on-line
instructions to complete the application process.
Organization: CR-Computational Research
The Scientific Computing Group in the Computational Research Division at
Lawrence Berkeley National Laboratory has an immediate postdoctoral
fellow opening in the area of development and applications of computational
algorithms enabling discovery and characterization of functional electronic
materials.
SPECIFIC RESPONSIBILITIES:
The successful candidate will participate in research activities focused on
development and applications of novel algorithms, approaches and software
in the area of material informatics. Of particular interest is the development
of capabilities 1) enabling enumeration, generation and characterization of
defects in crystals, as well as 2) enabling automatic structure analysis and
structural descriptor generation for efficient materials screening as well as
data mining. The successful candidate will help to integrate the developed
software into the Materials Project (http://www.materialsproject.org/),
enabling users worldwide to efficiently discover and characterize diverse
electronic materials. This person will be placed in a Scientific Computing
Group team led by Dr. Maciej Haranczyk and will collaborate with researchers
of the recently funded DOE BES Center for Functional Electronic Materials, in
particular, the groups of Prof. Mark Asta (UC Berkeley) and Dr. Kristin Persson (LBNL).
KEY SUCCESS FACTORS:
- Ph.D. in Cheminformatics/Material Informatics, Computational
Chemistry/Material Science, Computer Science, Applied Mathematics or a
related field within the last three years, with a strong background in
programming.
- A knowledge of crystal structure analysis (involving group theory, analysis
of symmetry, defects and topology of periodic structures) is highly desirable.
- Experience in cheminformatics/material informatics techniques (structure
enumeration, QSPR, data mining) as well as material modeling techniques is a plus.
- The successful candidate should be able to program proficiently in C/C++
and Python.
- Excellent communication skills and being able to work independently are
essential.
KEY SKILLS:
Scientific computing, Cheminformatics/Material informatics, Programming
(C/C++ and Python)
Equal Employment Opportunity: Berkeley Lab is an affirmative action/equal
opportunity employer committed to the development of a diverse workforce.
Apply directly online at http://bit.ly/lbl75275CCL and follow the on-line
instructions to complete the application process.
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