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Postdoctoral Research Associate - Data Analytics for Advanced Manufacturing

Date: Jun 11, 2021

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 6001 

Purpose:

The Energy Systems Analytics (ESA) group at the Oak Ridge National Laboratory (ORNL) conducts applied machine learning and decision science research and development for energy applications, with a focus on advanced manufacturing technologies. The group consists of staff members with backgrounds in electrical engineering, computer science, mechanical engineering, and optical engineering, and frequently collaborates with partners in industry, academia, and other government organizations.

 

To support ORNL strategic R&D activities in advanced manufacturing, the ESA group is currently accepting applications for a Postdoctoral Research Associate with expertise in computer vision/image processing and data analytics with a focus on quality control of Additive Manufacturing and Carbon Fiber Manufacturing processes. You will be actively engaged in the research and development of software and hardware techniques to explore three areas of interest: (1) real time quality control of manufacturing processes; (2) understanding of the correlation between manufacturing intent, machine behavior, and part quality; and (3) optimization of manufacturing processes targeting higher throughput and part quality. You will have access to ample resources to be successful in this position and therefore you are expected to publish new research in professional journals and to present your results to the scientific community at various conferences.

 

 

You will be working at the Manufacturing Demonstration Facility (MDF - https://web.ornl.gov/sci/manufacturing/mdf/) to advance manufacturing technologies, and to facilitate and accelerate their deployment to industry. The MDF relies on a diverse group of experts (material research, systems research, data science, robotics development) and on a cohort of state-of-the-art 3D printers and machining systems to produce complex parts with a wide range of materials and sizes.

 

Job Duties and Responsibilities:

  • Development of detection and measurement solutions for manufacturing systems
  • Development of software and algorithms to collect, visualize, and analyze data
  • Development of imaging/sensing systems to collect data
  • Design of experiment for parameter space exploration
  • Publish research in peer reviewed journals, and presentation to
  • Mentoring students

 

Required Qualifications:

  • The position requires a Ph.D. in electrical engineering, computer engineering, computer science or closely related field completed within the last 5 years
  •  Experience in designing and building algorithms for 2D and 3D image understanding
  • Demonstrated experience conceiving and executing research and development projects
  • Substantial programming skills in C/C++ or Python

 

Qualifications Preferred:

  • Experience with advanced manufacturing systems

 

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

 

Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.


For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.

 

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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