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Secure Data-Driven Manufacturing Process Control Engineer - Knoxville, United States - Oak Ridge National Laboratories
Description
**Location:** Knoxville, TN, US, 37931 Requisition Id 7629
**Overview:**
We are seeking a Data Analytics and Controls for Manufacturing Engineer who will focus on developing cyber secure methods of process monitoring, analysis, and feedback control for manufacturing processes. This position resides in the Manufacturing Automation and Controls Group in the Manufacturing Sciences Division of the Energy Science and Technology Directorate at Oak Ridge National Laboratory (ORNL).
As part of our research team, you will develop new methods of manufacturing process monitoring, analytics, and feedback control to protect and control manufacturing equipment. In addition, you will develop secure methods of information transfer applicable to both legacy and modern manufacturing equipment. Finally, you will use machine learning methods to analyze and predict the effects of modification to ongoing manufacturing processes. This project will require working with external partners, corporations, and sponsors to develop and deploy these technologies.
**Major Duties/Responsibilities:**
Conduct hands-on research investigating secure methods of closed-loop control for manufacturing systems
Apply process monitoring and analysis techniques to quantify and predict the performance of related process control parameters through machine learning applications
Develop and test cybersecurity methods to protect manufacturing equipment from malicious access
**Basic Qualifications:**
An MS degree in Mechanical Engineering, Computer Science, or related discipline
Experience working with data analytics with applications to process control
Basic programming experience in Python, C/C++, or similar language
**Preferred Qualifications:**
Experience working with commercial manufacturing equipment such as CNC machining centers
Experience applying advanced controls methods to manufacturing processes and/or manufacturing-related automation
Experience with machine learning for sensor processing and/or control, including reinforcement learning and machine vision
Excellent written and oral communication skills
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever-changing needs
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
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.