Requisition Id12953

Purpose:

The Sensors and Embedded Systems Group at the Oak Ridge National Laboratory (ORNL) is seeking applications for a postdoctoral research associate with expertise in process monitoring and control methods to support automation of complex systems. The ideal candidate has experience with (a) simulation of physico-chemical systems, (b) the selection and use of high-frequency data streams for process monitoring, and (c) practical validation of advanced control methods.

The chosen candidate is expected to perform research that expands the state-of-the-art for data- and physics-based models for process supervision in a diverse range of applications, including electrical grid monitoring, additive manufacturing, and water treatment. The chosen candidate is expected to publish the results of their research. Representative activities include:

• The development and implementation of algorithms and software tools for adaptive online process model identification (i.e., digital twin technologies)
• Use of high-frequency data for process monitoring and diagnosis
• Collaboration with other ORNL researchers to test the developed methods at industrially relevant scales

Job Duties and Responsibilities:

• Implementation and evaluation of data-intensive models and algorithms for supervision and optimization of complex system.
• Present and report research results in high-impact peer reviewed journals, conferences, and program reviews
• Develop long-term research strategies aligned with monitoring and automation capabilities and opportunities within ORNL.
• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:

• A PhD in civil engineering, electrical engineering, environmental engineering, mechanical engineering, or a related discipline completed in the last five years.
• Hands-on experience with machine learning, process modelling, and industrial data acquisition systems is very valuable.

This position may also require access to technology and information that is subject to export control requirements and potentially classified information.

Special Requirements:

Applicants cannot have received their Ph.D. 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 of up to 12 months. Initial appointments and extensions are subject to performance and availability of funding.

Please submit three letters of reference when applying to this position. You may upload these directly to your application or have them sent to 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

Benefits at ORNL:

ORNL offers competitive pay and benefits programs to attract and retain dedicated people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits includethe following: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan,Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

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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 difficulty using the online application system or need an accommodation to apply due to a disability, please email: or call 1.866.963.9545.

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.