[Neutron] ORNL / Neutron Sciences Job Posting: Postdoctoral Research Associate in Advanced Modeling of Local Atomic Structure / NB50665096

Johnson, Nicia R. johnsonnr at ornl.gov
Fri Apr 27 17:07:18 CEST 2018

Job Posting Title
Postdoctoral Research Associate in Advanced Modeling of Local Atomic Structure / NB50665096

Posted Date

End Posting Date

The Neutron Sciences Directorate (NScD) at Oak Ridge National Laboratory (ORNL) operates the High Flux Isotope Reactor
(HFIR), the United States' highest flux reactor based neutron source, and the Spallation Neutron Source (SNS), the world's
most intense pulsed accelerator based neutron source. Together these facilities operate 30 instruments for neutron scattering
research, each year carrying out in excess of 1,000 experiments in the physical, chemical, materials, biological and medical
sciences. HFIR also provides unique facilities for isotope production and neutron irradiation. To learn more about Neutron
Sciences at ORNL go to: http://neutrons.ornl.gov.

The Diffraction Group in the Neutron Scattering Division (NSD) of the NScD at Oak Ridge National Laboratory has an
immediate opening for a postdoctoral position focused on the modeling of local atomic structure in nanophase and
nanostructured materials. Particular attention will be focused on linking surface chemistry, particle morphology, and "internal"
crystal structure to the properties of functional nanocrystals, including during their use in industrial processes. Successful
candidates will work within a collaborative team to develop and apply new data reduction and structure refinement
methodologies, including towards in situ data monitoring and analysis. This position will allow postdoctoral scientists to
develop expertise, broaden experience and to interact with a diverse set of leading scientists working and visiting ORNL's
neutron facilities.

Major Duties/Responsibilities
* Employ experiments and atomistic modeling to study, understand, and optimize structure-property relationships in nano
and disordered crystalline materials.
* Implement and utilize novel data reduction and data modeling algorithms to further develop the performance of the powder
diffraction instruments, including towards in situ data monitoring and analysis.
* Publish scientific papers resulting from this research and present results at appropriate national and international meetings
* Physical requirements for this job include the use of hand and eye protection gear, kneeling, sitting for extended periods of
time, working with sample environment equipment, and possible exposure to ionization radiation normally associated with
operation of neutron scattering instruments for scientific research
* Ensures compliance with environment, safety, health and quality program requirements
* You will be expected to commit to ORNL's Research Code of Conduct by holding yourself and others to the highest
scientific, professional, and ethical standards in a manner that fosters mutual respect and enhances the reputation of the
individual researcher, his/her colleagues, and the Oak Ridge National Laboratory in its mission to address the Department of
Energy's and the nation's scientific and technical challenges.

Qualifications Required
Basic Qualifications:
* Ph.D. in Computer Science, Mathematics, Materials Science, Chemistry, Physics, or other related science field
* Knowledge of inorganic crystal structures and their defect and disorder motifs
* Programming proficiency in Python, C++, and/or Fortran
* Excellent communication and presentation skills
* Demonstrated ability to interact effectively with colleagues at all levels and in multi-disciplinary teams

Preferred Qualifications:
* Experience with Molecular Dynamics and/or Density Functional Theory studies of functional inorganic materials.
* Previous experience modeling/ interpreting spectroscopy and/or diffraction/total scattering data.
* Data modeling and refinement expertise using programs such as TOPAZ, GSAS, Fullprof, PDFGUI, Diffpy-CMI, and
* Experience in developing software or algorithms for data analytics, with particular interest in machine learning, artificial
intelligence, statistical inference, and other "big data" methods.
* Self-motivated with good interpersonal skills

Other Information:
Applicants must have received their PhD within five years of this application and must complete all degree requirements
before starting their appointment.
Please include a Cover Letter and CV with your application. Your cover letter should include the name and contact
information for two professional references. If you are asked to interview, you will be asked to provide a minimum of 2
reference letters for the hiring committee.

Work Directions and Interfaces
This position will report to Katharine Page. You will also work closely with research staff and other postdoctoral associates in
Diffraction and Data Sciences NSD Groups.
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