Postdoc: Bayesian System Dynamics & Uncertainty

Oak Ridge National Laboratory; Oak Ridge (TN); On-site; USD 75,000 - 110,000; Full time

Benefits offered by this job

Health insurance

Retirement plan

Parental Leave

Relocation assistance

Job summary

Oak Ridge National Laboratory seeks a Postdoctoral Research Associate to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate. You will conduct research integrating Bayesian methodologies with system dynamics models to calibrate time-evolving models against sparse, indirect observations.

You will extend open-source Python tools for probabilistic programming, collaborate with data scientists, software engineers, and domain experts, and

Qualifications

• PhD in a quantitative field.
• Experience applying Bayesian methods to scientific problems.
• Proficiency in Python and scientific computing.
• Strong written and verbal communication skills.
• Experience with probabilistic programming frameworks.
• Experience with system dynamics or compartmental modeling.
• Experience contributing to open-source software.
• Familiarity with nuclear nonproliferation domain is a plus.

Responsibilities

• Develop Bayesian methods for calibrating dynamic system models.
• Formulate probabilistic models and likelihoods.
• Contribute to open-source scientific software development and documentation.
• Run computational studies to assess model performance and uncertainty.
• Publish and present results to technical communities and sponsors.
• Uphold scientific integrity and compliance with ORNL policies.
• Travel as required.

Skills

Bayesian methods

Python

Scientific communication

Open-source software

Multidisciplinary teamwork

Education

Ph.D. in statistics / applied math / CS / physics / engineering / OR

Tools

PyMC

Stan

NumPyro

Tensor libraries (JAX)

Job description

Oak Ridge National Laboratory seeks a Postdoctoral Research Associate to join the Data Science and Engineering for Nonproliferation Group in the National Security Sciences Directorate. You will conduct research integrating Bayesian methodologies with system dynamics models to calibrate time-evolving models against sparse, indirect observations.

You will extend open-source Python tools for probabilistic programming, collaborate with data scientists, software engineers, and domain experts, and