Postdoctoral Research Associate Data Science for Advanced Manufacturing

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.

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

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

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