Postdoctoral Appointee – Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
| Company | Argonne National Laboratory |
|---|---|
| Location | Woodridge, IL, USA |
| Salary | $70758 – $110379.55 |
| Type | Full-Time |
| Degrees | PhD |
| Experience Level | Junior |
Requirements
- Recent or soon-to-be completed PhD (within the last 0-5 years) by the start of the appointment in computer science, electrical engineering, applied mathematics, or a related field
- Candidates should have expertise in two or more of the following areas: Uncertainty quantification, numerical solutions of differential equations, and stochastic processes
- Knowledge in modeling and algorithms for large-scale ordinary differential equations (ODEs) and differential-algebraic equations (DAEs)
- Proficiency in a scientific programming language (e.g., C, C++, Fortran, or Julia)
- Experience in statistical modeling and probabilistic analysis
- Ability to model Argonne’s core values of impact, safety, respect, impact and teamwork
Responsibilities
- Creating large scale models of dynamic phenomena in electrical power networks
- Quantifying the risk of rare events to mitigate vulnerabilities
- Responsible for the conceptual framework, design, and implementation of these models
- Ensuring scalability on the DOE’s leadership computing facilities
Preferred Qualifications
- Expertise in rare event simulation, deep learning, and developing computationally efficient approaches for simulation and modeling in complex systems is highly desirable
- Experience with parallel computing, large-scale computational science, and simulation of networked physical systems
- Familiarity with techniques for sensitivity analysis and handling high-dimensional problems
- Experience in power grid applications