Postdoctoral Appointee - Uncertainty Quantification and Modeling of -Scale Dynamics in Networks

Position: Postdoctoral Appointee - Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks
Location: Lemont

Postdoctoral Appointee – Uncertainty Quantification and Modeling of Large-Scale Dynamics in Networks

The Mathematics and Computer Science (MCS) Division at Argonne National Laboratory invites candidates to apply for a postdoctoral position focused on creating large-scale models of dynamic phenomena in electrical power networks and quantifying the risk of rare events to mitigate vulnerabilities. The Postdoctoral Appointee will be responsible for conceptual framework development, model design and implementation, and ensuring scalability on DOE’s leadership computing facilities.

Responsibilities

• Conceptualize and design large-scale dynamic models for electrical power networks.

• Implement models ensuring scalability on DOE leadership computing facilities.

• Quantify risk of rare events to mitigate vulnerabilities and develop mitigation strategies.

• Collaborate with interdisciplinary teams, contributing to scientific publications and conference presentations.

• Maintain rigorous coding standards, documentation, and reproducible research practices.

Required Skills and Knowledge

• Recent or soon-to-be completed PhD (within the last 0‑5 years) in computer science, electrical engineering, applied mathematics, or a related field.
• Expertise in at least two of the following areas:
  • Uncertainty quantification, numerical solutions of differential equations, and stochastic processes.
  • Modeling and algorithms for large‑scale ordinary differential equations (ODEs) and differential‑algebraic equations (DAEs).
  • Statistical modeling and probabilistic analysis.
• Proficiency in a scientific programming language (e.g., C, C++, Fortran, or Julia).
• Ability to model Argonne’s core values of impact, safety, respect, integrity, and teamwork.

Preferred Skills and Knowledge

• Expertise in rare‑event simulation, deep learning, and developing computationally efficient approaches in complex systems.
• 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.

Job Family

Postdoctoral

Job Profile

Postdoctoral Appointee

Worker Type

Long‑Term (Fixed Term)

Time Type

Full Time

Pay Range

Expected hiring range: $70,758.00 – $. The pay offered to a selected candidate will be determined based on qualifications, scope of responsibilities, business considerations, internal equity, and external market pay for comparable jobs.

Benefits

Benefits are part of the total rewards package. Comprehensive benefits are available to Argonne employees.

Equal Employment Opportunity

Argonne National Laboratory is an equal employment opportunity employer. Argonne is committed to nondiscrimination and considers all qualified applicants for employment without regard to any characteristic protected by law. Argonne employees, and certain guest researchers and contractors, are subject to restrictions related to participation in Foreign Government Sponsored or Affiliated Activities, and will be required to disclose any such participation during the application phase.

Background

Check

All Argonne offers of employment are contingent upon a background check that includes an assessment of criminal conviction history conducted on an individualized and case‑by‑case basis. Positions may require a government access authorization; failure to obtain or maintain such authorization could result in withdrawal of a job offer or future termination of employment.

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