Postdoctoral Research Associate - Robotics and Controls

Requisition Id 14997 

­­Overview:  

We are seeking a postdoctoral fellow 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 teams 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.

 

Major Duties/Responsibilities: 

• Work as a team member on partnerships with industry, universities, and other national laboratories
• 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 engineering, computer science, or a related field completed within the last five years.
• Expertise in systems dynamics and controls, automation, and/or robotics
• 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 in 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.
• Experience with ROS and the ROS ecosystem

 

Special Requirements:

Applicants cannot have received their PhD 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 up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

 

Three letters of references are required. You may upload these directly to your application or have them sent to Postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

 

Instructions to upload documents to your candidate profile:

• Login to your account via jobs.ornl.gov
• View Profile
• Under the My Documents section, select Add a Document

 

About ORNL

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation’s most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

 

ORNL offers competitive pay and benefits programs to attract and retain individuals who demonstrate exceptional work behaviors. The la