Postdoctoral Research Associate Data Science for Advanced Manufacturing
Oak Ridge National Laboratory (ORNL) is a U.S. Department of Energy national laboratory conducting multidisciplinary research in computing, AI, energy, materials, nuclear science, neutron science, isotopes, and national security.
Funding history
Investors
About Oak Ridge National Laboratory
ORNL is a government-owned, contractor-operated U.S. Department of Energy research laboratory in Oak Ridge, Tennessee. UT-Battelle operates ORNL for DOE; the laboratory currently provides AI and high-performance-computing capabilities alongside science and engineering research infrastructure.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will develop sensing, data-processing, analytics, machine-learning, and statistical-modeling workflows for manufacturing datasets. You will build and evaluate AI models for monitoring, anomaly detection, prediction, optimization, and decision support, including real-time and edge deployment. You will collaborate across disciplines and publish and present research results.
Requirements
- PhD in mechanical engineering, materials science, electrical engineering, computer engineering, computer science, data science, applied mathematics, or a closely related field
- Experience with multimodal data acquisition, data analytics, statistical modeling, and machine learning in manufacturing
- Proficiency in Python and data-science and machine-learning libraries including NumPy, Pandas, SciPy, scikit-learn, PyTorch, and TensorFlow
- Experience developing and deploying machine-learning or deep-learning models
- Ability to present complex results to multidisciplinary stakeholders
- Verbal and written communication skills
- Must be qualified for export-controlled technology access without an export-control license
- Must have received a PhD no more than five years before application and complete degree requirements before appointment
Responsibilities
- Develop and integrate imaging and sensing modalities for manufacturing data collection and monitoring
- Develop modular data-processing workflows
- Develop and deploy data analytics, machine learning, and statistical-modeling methods for multimodal manufacturing data
- Develop, integrate, and evaluate AI and machine-learning models for anomaly detection, predictive modeling, process optimization, and automated decision support
- Collaborate with multidisciplinary teams to provide sensing, computational, and analytical expertise
- Support research and development activities within the Manufacturing Demonstration Facility
Benefits
- Medical plans
- Retirement plans
- Flexible work hours
- On-site fitness facilities
- On-site banking facilities
- On-site cafeteria facilities
- Prescription Drug Plan
- Dental Plan
- Vision Plan
- 401(k) Retirement Plan
- Contributory Pension Plan
- Life Insurance
- Disability Benefits
- 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
- Employee Discounts
