Research Scientist*in - Automated hierarchical Hidden Markov Modelling for power network components
Research Scientist - Automated hierarchical Hidden Markov Modelling for power network compon
Die Fraunhofer-Gesellschaft (www.fraunhofer.de) betreibt in Deutschland derzeit 76 Institute und Forschungseinrichtungen und ist eine der führenden Organisationen für anwendungsorientierte Forschung. Rund 32 000 Mitarbeitende erarbeiten das jährliche Forschungsvolumen von 3,4 Milliarden Euro.
Marie Skłodowska-Curie Actions (MSCAs) Doctorial Network are joint research and training projects funded by the European Union (EU). Funding is provided for Doctorial Candidates from both inside and outside Europe to carry out individual project work in a European country other than their own. The training network FOURIER is made up of 9 beneficiaries and 12 associated partners, coordinated by Politecnico di Torino (POLITO) in Italy. The network will recruit a total of 15 Doctoral Candidates for project work lasting for 36 months.
FOURIER aims to develop innovative system state monitoring (STM) techniques using AI for autonomous inspection and health monitoring of complex infrastructure engineering systems, explicitly identifying information gaps and uncertainties to enhance resilience against failures, sabotage, accidents and disasters. The project promotes interdisciplinary research and knowledge transfer through the collaboration of 21 partners from academia, research, and industry across Europe, offering comprehensive training opportunities for DCs.
Was Sie bei uns tun
- Develop and apply Hidden Markov Models (HMM) for automated system state modeling.
- Generate HMM training data via simulations of prosumer behavior in local electricity grids (energy, heat, storage).
- Formulate minimization problems to determine the HMM model parameters from simulation or real-world data.
- Ensure models are explainable and based on minimal assumptions.
- Use HMMs to analyze efficiency, sustainability, and service opportunities for prosumers that can be implemented by smart metering technologies.
- Validate methods and results with an industrial SME partner.
Was Sie mitbringen
- Master’s degree in MINT fields (e.g., Electrical/Mechanical/Process Engineering, Computer Science, Physics, Mathematics).
- Technical Interests: Advanced Markov Chain modeling (e.g., HMM), Monte Carlo simulation, smart metering, health monitoring, anomaly detection, predictive maintenance, system reliability, and energy optimization.
- Strong programming skills: Python, C++, or similar.
- Experience in numerical simulation and/or ML/AI applications and Knowledge of scientific writing is required.
- Preferred: Background in system simulation, optimization, and quantitative analytical system analysis methods.
- Good proficiency in English (written and spoken) and willingness to learn German.
You will have the opportunity to work as part of an international, interdisciplinary supporting in total 15 Doctorial Candidates, based at universities and industrial firms throughout Europe. You will be supported by 3 mentors within the FOURIER project and will have multiple opportunities to participate in professional and personal development training.
- Project and results driven applied research working environment as springboard for a career in industry.
- Excellent equipment of working places.
- Flexible working hours to support work-life-balance.
- Family-friendly environment.
- Additional training on the job.
- You will become partially part of internal PhD-Seminars at Fraunhofer EMI and at University Freiburg, Department of Sustainable Systems Engineering (INATECH) to foster disciplinary input and soft skills.
Wir wertschätzen und fördern die Vielfalt der Kompetenzen unserer Mitarbeitenden und begrüßen daher alle Bewerbungen – unabhängig von Alter, Geschlecht, Nationalität, ethnischer und sozialer Herkunft, Religion, Weltanschauung, Behinderung sowie sexueller Orientierung und Identität. Schwerbehinderte Menschen werden bei gleicher Eignung bevorzugt eingestellt.
Die wöchentliche Arbeitszeit beträgt 39 Stunden. Die Stelle kann auch in Teilzeit besetzt werden.
Mit ihrer Fokussierung auf zukunftsrelevante Schlüsseltechnologien sowie auf die Verwertung der Ergebnisse in Wirtschaft und Industrie spielt die Fraunhofer-Gesellschaft eine zentrale Rolle im Innovationsprozess. Als Wegweiser und Impulsgeber für innovative Entwicklungen und wissenschaftliche Exzellenz wirkt sie mit an der Gestaltung unserer Gesellschaft und unserer Zukunft.
Haben wir Ihr Interesse geweckt? Dann bewerben Sie sich jetzt online mit Ihren aussagekräftigen Bewerbungsunterlagen. Wir freuen uns darauf, Sie kennenzulernen!
Claudia Kiefer
Personalmarketing / Recruiting
hr.**********ng@***.fraunhofer.de
Fraunhofer-Institut für Kurzzeitdynamik, Ernst-Mach-Institut EMI
www.emi.fraunhofer.de
Kennziffer: 77929 Bewerbungsfrist: 01.03.2025
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