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Benigni

Top university

6 days ago

PhD Position: Stability and Dynamic Behaviour of Inverter-Based Power Systems Using Supercomputing RWTH Aachen University in Germany

I am offering a PhD position in inverter-based power systems stability and simulation at RWTH Aachen University.

RWTH Aachen University

Germany

email-of-the@publisher.com

Date not provided

Keywords

Computer Science
Electrical Engineering
Mathematics
Algorithm Development
Computational Engineering
Transient Analysis
Grid Stability
Dynamic Behavior
Supercomputing
Energy System
Inverter-based Power Systems
High-performance Computer
Energytransition

Description

This PhD position at RWTH Aachen University offers an exciting opportunity to investigate the stability and dynamic behaviour of inverter-based power systems, leveraging state-of-the-art supercomputing infrastructure. The research focuses on developing scalable methods to simulate and secure grids dominated by inverter-based resources (IBRs), a critical area for the future of energy systems and the transition to renewable energy. As a doctoral researcher, you will conduct large-scale simulations to analyze grid stability, fault propagation, and recovery dynamics. You will work with high-resolution time-domain models to study control and protection strategies, and develop dynamic models for both grid-forming and grid-following inverters. The project involves implementing and optimizing scalable algorithms for transient and stability analyses on high-performance computing (HPC) architectures, including CPU, GPU, and hybrid systems. Enhancing the numerical robustness and efficiency of existing simulation frameworks is a key aspect of the work. You will be part of a diverse and supportive research group, collaborating on interdisciplinary projects and disseminating your findings through scientific publications, conferences, and collaborations. The position also includes mentoring Bachelor’s and Master’s students and contributing to the group’s collaborative research efforts. Applicants should have an excellent Master’s degree in electrical engineering, a strong mathematical and algorithmic background, and programming experience in languages such as Python and C++. Familiarity with parallel programming frameworks (e.g., MPI, CUDA) is required, along with fluency in English and strong analytical, teamwork, and communication skills. The ideal candidate is independent, motivated, and passionate about shaping the energy transition. The offer includes a fixed-term contract for 3.5 years, with the first 6 months as an orientation and probation period. Compensation is in line with 75% of pay group 13 of the Collective Agreement for the Public Service (TVöD-Bund), plus a 60% monthly salary as a special payment (Christmas bonus). You will benefit from 30 days of annual leave, flexible working arrangements (including partial remote work), and strong support for professional development through JuDocS, including training courses, networking, and structured continuing education. Targeted services for international employees and a diverse, inclusive working environment are also provided. Research will be conducted in collaboration with the Jülich Supercomputing Centre, offering access to world-class infrastructure and resources. The position is supervised by Professor Benigni, and you will have opportunities to participate in projects, meetings, and international conferences, building a strong foundation for a career in academia or industry. For more information and to apply, visit the official job posting: Application Link . Additional details about doctoral degrees, benefits, and diversity initiatives at Forschungszentrum Jülich are available through the provided links.

Funding

Available

How to apply

Apply online via the official application link. Prepare your CV, cover letter, and supporting documents. Ensure you meet all eligibility criteria before submitting your application. For further details, visit the provided job posting link.

Requirements

Applicants must hold an excellent Master’s degree in electrical engineering. A very strong mathematical and algorithmic background is required, along with programming experience (Python, C++, etc.) and familiarity with parallel programming frameworks such as MPI and CUDA. Candidates must be fluent in written and spoken English, possess strong analytical skills, and demonstrate an independent working style, excellent teamwork, and communication skills. Motivation and passion for shaping the energy transition are essential.

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