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Postdoctoral Research Associate - Directed and Automated Manipulation of Matter

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Date: Nov 2, 2020

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 3171 

Overview: The Center for Nanophase Materials Sciences (CNMS) is seeking a Postdoctoral Research Associate to support the development and application of methods for directed manipulation of materials using aberration corrected scanning transmission electron microscopy, scanning probe microscopy, scanning tunneling microscopy, and focused ion beam instrumentation. The specific focus will be to develop methods for controlling and understanding electron/ion beam or probe based tip interactions and processing parameters to permit a mechanistic understanding factors guide the directed fabrication and atomic manipulation of matter. As a Postdoctoral Research Associate, you will contribute to the development of novel scan control and feedback strategies, perform in situ experiments under controlled environmental conditions and as a function of external stimuli and work closely with ORNL scientists on materials characterization, synthesis and theory in order to experimentally validate predictive models. You will also collaborate with artificial intelligence/machine learning experts at ORNL to guide material transformations for automated experiments.

 

Major Duties/Responsibilities:

  • Contribute to efforts in advanced microscope control, feedback and automation methods
  • Work as part of a dynamic team conducting research that advances and develops cutting edge characterization capabilities to improve our understanding of nanomaterial material transformations from experiments, theory and simulations.
  • Present and report research results and publish scientific results in peer-reviewed journals in a timely manner

 

 

Basic Qualifications:

  • A PhD in Physics, Materials Science & Engineering, Mechanical Engineering, Computer Science or a closely related field completed within the last 5 years
  • Background and hands-on experience in aberration corrected STEM imaging

 

Preferred Qualifications:

  • Experience with microscope platforms (electron, scanning probe, scanning tunneling, ion beam)
  • Experience with data acquisition and control systems hardware and software such as Labview
  • Background in data analysis and simulations using Python or MatLab
  • Ability to work well in a dynamic research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs
  • An excellent record of productive and creative research shown by publications in peer-reviewed journals
  • Excellent written and oral communication skills and the ability to communicate in English to an international scientific audience

 

Special Requirements:

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. The appointment length will be up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

 

Please provide a list of publications when applying for this position.  Three letters of reference are required and can be uploaded to your profile or emailed directly to PSDrecruit@ornl.gov.  Please include the title of the position in the subject line.

 

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB 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@ornl.gov.


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.


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