Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
UChicago Argonne(11 months ago)
About this role
A postdoctoral appointment in the Mathematics and Computer Science Division at Argonne National Laboratory focused on uncertainty quantification and modeling of large-scale dynamic phenomena in networks. The role centers on developing scalable models for electrical power networks and assessing the risk of rare events to mitigate vulnerabilities. Work will target implementation and performance on DOE leadership-class computing facilities.
Required Skills
- Uncertainty Quantification
- Numerical Methods
- Stochastic Processes
- ODE Modeling
- DAE Modeling
- Scientific Programming
- Statistical Modeling
- Probabilistic Analysis
- Parallel Computing
- Rare-Event Simulation
+3 more
Qualifications
- PhD in Computer Science, Electrical Engineering, Applied Mathematics, or Related Field (recent)
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