Requisition Id12699
Purpose:
We are seeking a post-doctoral associate to advance science and technology in the areas of machine vision, data science and analytics, and diagnostics for energy storage systems in transportation and grid sectors for second life applications among other battery R&D duties. Selection will be based on qualifications, relevant experience, technical skills, and education. The chosen candidate is expected to develop and execute research projects on applying advanced machine learning algorithms to applications of second life use of electrochemical energy storage systems.
Candidates should have demonstrated record of technical accomplishments in 1) advanced machine learning algorithms including but not limited to convolutional neural networks, deep learning, variational auto encoders, segmentation and feature identification, etc.; 2) ability to data-wrangle large data-sets that may include images, video, 3D cad files, time series, electrochemical data-sets and 3) prior knowledge on fundamental principles of electrochemical systems (viz. batteries), machine design (CAD, 3D parts), as well as power electronics. Demonstrated ability to build data-utility pipelines for high throughput analysis will be favorable. These research areas are aligned with U.S. Department of Energy (DOE) Office of Vehicle Technologies and other DOE programs.
This postdoctoral position is in the Energy Systems Integration Division, and research will primarily be conducted at ORNL's Grid Research, Integration & Deployment Center (GRID-C). The successful candidate will collaborate with staff across ORNL and will be expected to communicate at conferences and project review meetings and interface with scientists at other national labs, industry, and universities.
Major Duties / Responsibilities:
Basic Qualifications:
Preferred Qualifications:
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. 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:
Benefits at ORNL:
ORNL offers competitive pay and benefits programs to attract and retain talented 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.
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.
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.