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PhD Project – Numerical Methods - Simulation of Power Systems

Online/Außer Haus - Idealerweise für Kandidaten in
72810, Gomaringen, Baden-Württemberg, Deutschland
Unternehmen: DIgSILENT GmbH
Vollzeit, Fernarbeit/Heimarbeit position
Verfasst am 2025-12-27
Berufliche Spezialisierung:
  • Ingenieur
    Elektrotechnik-Ingenieur, Mathematik, Forschungswissenschaftler, Robotik
  • Forschung/Entwicklung
    Mathematik, Forschungswissenschaftler, Robotik
Gehalts-/Lohnspanne oder Branchenbenchmark: 40000 - 60000 EUR pro Jahr EUR 40000.00 60000.00 YEAR
Stellenbeschreibung
Stellenbezeichnung: PhD Project – Numerical Methods for High-Performance Dynamic Simulation of Power Systems
Location: Gomaringen

PhD Project – Numerical Methods for High-Performance Dynamic Simulation of Power Systems (f/m/d)

In cooperation with the Institute of Applied Mathematics at TU Delft
, we are seeking a PhD candidate to develop advanced numerical methods for accelerating dynamic simulations of electrical power systems.

Your Tasks:
  • Research into new methodologies for high-performance dynamic simulation of hybrid DAEs in power-system contexts (EMT & RMS), including domain decomposition techniques.
  • Tackle challenging research questions at the interface of power-system simulation and applied mathematics.
  • Translate novel methods into robust, industry-ready software solutions.
  • Close cooperation and exchange with researchers at the Delft Institute of Applied Mathematics on the development and evaluation of new numerical techniques.
  • Collaborate with DIgSILENT’s Simulation R&D Team to accelerate state-of-the-art dynamic simulation tools used in industry.
Your Profile:
  • A Master’s degree (or equivalent) in Mathematics, Physics, Electrical Engineering, or a related field.
  • Motivation to work at the intersection of numerical algorithms, high-performance simulation, and industrial power-system applications.
  • Solid knowledge in power system engineering, simulation, mathematics or related fields will be advantageous.
  • A strong background in numerical methods for differential equations (ODEs/DAEs) and numerical linear algebra is a plus.
  • Experience in scientific programming, preferably in C/C++ and/or Python.
  • Interest or experience in high-performance computing, including shared-memory and distributed-memory parallelization.
Your Benefits:
  • Flexible working hours with the option to work from home
  • Childcare allowance for daycare and kindergarten children.
  • Work in an innovative and promising working environment with excellent professional development opportunities.
  • Flat hierarchies with the advantages of an internationally networked, medium-sized company.
  • Guidance and supervision by leading experts from TU Delft while being integrated into a highly dynamic and innovative R&D team at DIgSILENT.
  • Permanent position
  • Attractive remuneration
  • Annual bonus
  • 30 days vacation
  • Individual training
  • Flextime arrangement
  • Company pension
  • Home office
  • Job bike
  • Career and family
  • Cafeteria
  • Drinks
  • Free fruit
  • Free parking
  • Company anniversaries
  • Employee events
We are looking forward to your application!

About the partners:

Institute of Applied Mathematics, TU Delft – a globally renowned center for numerical mathematics at one of Europe’s top technical universities, known for excellence in applied mathematics and computational science.

DIgSILENT GmbH – an independent software and consulting company in the field of electrical power supply, serving transmission, distribution, generation, industrial networks, and renewable energy systems. Its flagship product, Power Factory, is one of the leading tools worldwide for power-system simulation and analysis.

Your contact person:

Do you have any questions? You can reach our HR department at:
-0.

Start: Immediately

Location: Gomaringen

Reference: RD055

Contact: Dr. Johannes Rueß

Phone: -0

Apply online:

#J-18808-Ljbffr
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