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PhD Position - Ensuring Power System Security under Extreme Conditions using Exascale Computing

Forschungszentrum Jülich

Jülich

Vor Ort

EUR 40.000 - 55.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Erstelle in nur wenigen Minuten einen maßgeschneiderten Lebenslauf

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Zusammenfassung

A leading research center in Germany is offering a PhD position focused on enhancing power system security through exascale computing. The role involves conducting studies to evaluate system vulnerabilities and resilience under extreme conditions, building large-scale power system models, and disseminating research findings. Candidates should possess a strong background in power systems and HPC.

Qualifikationen

  • Strong background in power systems and high-performance computing.
  • Experience with large-scale simulations and GPU programming.

Aufgaben

  • Conduct security and resilience studies for highly stressed systems.
  • Evaluate system vulnerabilities and design recovery strategies.
  • Build and expand continent-scale power system models.
  • Implement GPU-capable, parallelized simulation frameworks.
  • Work with experts to enhance scalability and performance.
  • Disseminate findings through publications and conferences.

Ausbildung

PhD or equivalent in a relevant field
Jobbeschreibung
Overview

Your Job :

In this PhD project, you will shape the future of power system security by harnessing exascale computing. Your research will focus on understanding and enhancing grid resilience under extreme scenarios.

Responsibilities
  • Conduct security and resilience studies for highly stressed systems (, multiple faults, high renewable shares, or equipment failures).
  • Evaluate system vulnerabilities and design recovery and stability strategies using large-scale simulation workflows.
  • Build and expand realistic, continent-scale power system models (, the European transmission grid).
  • Implement and test GPU-capable, parallelized simulation frameworks.
  • Work closely with experts in HPC and power systems to enhance scalability and computational performance.
  • Disseminate your findings through scientific publications, conferences, and collaborations
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