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Sr. R&D Staff Member in Manufacturing Automation and Controls

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Date: Nov 16, 2020

Location: Knoxville, TN, US, 37932

Company: Oak Ridge National Laboratory

Requisition Id 4271 

 

Overview: 
We are seeking a senior research professional to lead world class capabilities related to manufacturing science and technology associated with the ORNL and DOE mission. Selection will be based on qualifications, relevant experience, skills, and education.
 
This position are within Manufacturing Automation and Controls Group within the Manufacturing Science Division (MSD), which houses Manufacturing Demonstration Facility and Carbon Fiber Technology Facility.

Purpose:
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 visionN, and/or human machine interaction.

 

Main Duties and 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

Qualifications:

Minimum 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
* Demonstrated leadership within the controls and/or manufacturing community, as demonstrated by professional organization membership

 

 

 

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