Share this Job

Senior R&D Staff Member in Manufacturing Automation and Controls

Date: Jun 13, 2022

Location: Knoxville, TN, US, 37931

Company: Oak Ridge National Laboratory

Requisition Id 7628 

Overview: 

We are seeking a senior research professional to lead world-class capabilities related to manufacturing science and technology associated with the Oak Ridge National Laboratory (ORNL) and Department of  Energy (DOE) mission.  Selection will be based on qualifications, relevant experience, skills, and education. This position resides in the Manufacturing Automation and Controls Group in the Manufacturing Sciences Division of the Energy Science and Technology Directorate at ORNL).  

 

In this position, you will help lead teams toward achieving both the overall mission of Oak Ridge National Laboratory and those goals specific to the Manufacturing Science Division through advanced research in automation and controls, including flexible industrial automation, machine learning, sensor processing, machine vision, and/or human machine interaction. This project will require working with external partners, corporations, and sponsors to develop and deploy these technologies.

 

Major Duties/Responsibilities: 

  • Work to create partnerships with industry, universities, and national laboratories to identify and lead research proposals in response to solicitations, identifying where ORNL experience and capabilities can make an impact
  • Prepare proposals and associated materials as required for delivery of custom solutions
  • Communicate research results through presentations, reports, conference papers, and peer-reviewed journals
  • Provide scientific direction, guidance, and mentorship to fellow scientists and staff as a key member of the Manufacturing Automation and Controls Group

 

Basic Qualifications:

  • A Doctorate in an Engineering discipline, Computer Science, or a related field
  • Expertise in systems dynamics and controls, automation, and/or robotics
  • Demonstrated experience in leading R&D teams
  • Demonstrated ability to work both individually and as part of a diverse team
  • Excellent communication skills as evidenced by previous reports, papers, and presentations

 

Preferred Qualifications:

  • Experience applying advanced controls methods to manufacturing processes and/or manufacturing-related automation
  • Expertise in machine learning for both sensor processing and control, including reinforcement learning and machine vision. Application of those methods to manufacturing processes and/or manufacturing-related automation.
  • Expertise in advanced (high fidelity, high bandwidth) perception, localization, and state estimation
  • Demonstrated leadership within the controls and/or manufacturing community, as demonstrated by professional organization memberships

 

 

 

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.


Nearest Major Market: Knoxville