Researcher in Quantum Optimization for Power Systems
vor 1 Woche
Job Overview:
We are seeking a highly motivated researcher to work on a Master Thesis or Internship project focused on quantum optimization for power systems. The successful candidate will have the opportunity to contribute to the development of new quantum algorithms and their application to real-world problems in power systems.
Key Responsibilities:
- Review and analyze existing partitioning algorithms and spectral methods based on network modularity
- Identify use cases for graph partitioning in power systems-related studies, particularly for state estimation
- Develop new or tailor existing QUBO formulations for graph partitioning objectives to the use cases found
- Compare the partitioning results using classical algorithms with quantum optimization ansatz
Requirements:
- Enrolled as a master student in a university
- Good background in physics, electrical engineering, computer science, mathematics, or related subjects
- Good programming skills
- Useful expertise in graph theory/network science, power systems, and linear algebra
What We Offer:
We provide a dynamic and interdisciplinary work environment that combines physics, mathematics, computer science, and engineering. Our team offers intensive supervision, a friendly and international working environment, and access to high-performance computing hardware and state-of-the-art quantum computers.
About Us:
Forschungszentrum Jülich is a leading research center in Germany, and we are committed to creating a diverse and inclusive working environment. We welcome applications from people with diverse backgrounds and offer equal opportunities for everyone to realize their potential.
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