Requisition Id 17138

Overview:

We are seeking a research professional to help develop 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 Robotics and Controls Group in the Manufacturing Sciences Division of the Energy Science and Technology Directorate at ORNL.

In this position, you will be a part of team working toward achieving both the overall mission of Oak Ridge National Laboratory and those goals specific to the Manufacturing Science Division through advanced research in robotics, automation, and controls, including flexible/agile industrial automation, machine learning, mobile robotics, process control, sensor processing, machine vision, and/or human machine interaction. This position will require working with external partners, corporations, and sponsors to develop and deploy these technologies. Growth toward leadership within the group is expected and will be supported.

Major Duties/Responsibilities:

• Work as a team member on existing partnerships with industry, universities, and other national laboratories
• Develop proposals and pursue funding in support of research activities, including through collaborations with industry partners
• Design and implement advanced sensing and controls algorithms for manufacturing
• Communicate research results through presentations, reports, conference papers, and peer-reviewed journals
• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote equal opportunity by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:

• A PhD in an Engineering discipline, Computer Science, or a related field
• At least two years of relevant experience
• Expertise in systems dynamics and controls, automation, and/or robotics
• Demonstrated experience in developing and implementing advanced controls and sensing algorithms
• Demonstrated ability to work both individually and as part of a team
• Excellent communication skills as evidenced by previous reports, papers, and presentations

Preferred Qualifications:

• Experience developing funded research programs
• 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, state estimation, and control
• Experience with ROS and the ROS ecosystem

Special Requirements:

• This position requires access to technology that is subject to export control requirements. Successful candidates must be qualified for such access without an export control license.
• Visa sponsorship is not available for this position

For employment at Oak Ridge National Laboratory (ORNL), a Real ID compliant form of identification will be required. Additionally, ORNL is subject to Department of Energy (DOE) access restrictions. All employees must also be able to obtain and maintain a federal Personal Identity Verification (PIV) card as mandated by Homeland Security Presidential Directive 12 (HSPD-12) and Department of Energy (DOE) Order 473.1A, which requires a favorable post-employment background investigation.

To obtain this credential, new employees must successfully complete and pass a Federal Tier 1 background check investigation. This investigation includes a declaration of illegal drug activities, including use, supply, possession, or manufacture within the last year. This includes marijuana and cannabis derivatives, which are still considered illegal under federal law, regardless of state laws.

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.