Master Thesis - Physics-Informed Machine Learning for Dynamic Power System Characterization
Entwickelt physikinformierte Gaussian-Process-Modelle zur Schätzung elektrischer Parameter in Stromnetzen aus transienten Spannungs- und Stromdaten.
Entwickelt physikinformierte Gaussian-Process-Modelle zur Schätzung elektrischer Parameter in Stromnetzen aus transienten Spannungs- und Stromdaten.
You design and implement automations that replace manual processes with scalable workflows You work with tools such as Cursor, Snowflake, Ai
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Warum dieser Job gelistet ist
Das Arbeitsergebnis ist die Entwicklung und Evaluation eines ML-Verfahrens (GP-Kernelmodelle mit Physikintegration); ohne ML fehlt die Kernaufgabe.. Prüfverfahren ansehen
will include: Developing and analyzing representative dynamic simulation scenarios for electrical power systems Extending kernel-based Gaussian Process methods for the estimation of electrical and control parameters Integrating physical knowledge, such as governing differential equations and physical constraints, into probabilistic kernel models Developing and evaluating a physics-informed digital-twinning methodology based on known system parameters and reference simulations Assessing the approach with regard to estimation accuracy, uncertainty quantification, numerical robustness, and computational efficiency Analyzing and documenting your results and deriving conclusions for the applicability of the developed approach
Excellent university degree (Bachelor) in field of Data Science or a comparable field i.e. Electrical Engineering, Computer Science/ Engineering, Physics or the like Strong mathematical background Interest in energy systems, power grids and their components Excellent knowledge and experience in programming Python Excellent knowledge and experience in machine learning Excellent ability for cooperative collaboration Very good command of written and spoken English with extensive vocabulary is required (at least B2 level according to the CEFR), ideally supported by a certificate confirming the language level. Knowledge of the German language is not mandatory but certainly appreciated Our Benefits for You We work on the very latest issues that impact our society and are offering you the chance to actively help in shaping the change!
We offer ideal conditions for you to complete your studies: Meaningful Tasks: Your thesis deals with a future-oriented, socially relevant topic with direct practical relevance in an international environment Practical relevance: With us, you will gain valuable practical experience alongside your studies and actively participate in interdisciplinary projects, including project meetings and, where appropriate, conferences. Scientific environment: You can expect excellent scientific equipment, modern technologies, and qualified support from experienced colleagues Personal responsibility: You organize your tasks independently - from preparation to implementation Onboarding & teamwork: You can look forward to working in a dedicated, international, and collegial team. It is important to us that you quickly settle into the team and are given structured training for your tasks.
We also support you from the very beginning and make your start easier with our Welcome Days and Welcome Guide Work-life balance: We offer flexible working hours to help you balance your professional and personal life. You also have the option of flexible working (in terms of location), which is generally possible after consultation and in line with upcoming tasks and (on-site) appointments Flexibility: Flexible working hours make it easier for you to balance work and study Campus experience: Our research campus in the countryside creates ideal conditions for collegial exchange and sporting activities right on site. Our cafeteria offers a wide range of options—you can enjoy a relaxing lunch break with a lake view Perspective: We provide strong support and mentoring to help you prepare for a future career in science or industry.
If you have the appropriate qualifications and funding is available, the institute also offers the opportunity to pursue a PhD after completing your master s thesis Fair remuneration: We will pay you a reasonable remuneration for your thesis In addition to exciting tasks and a collegial working environment, we offer you much more: https:/go.fzj.de/
We welcome applications from people with diverse backgrounds, e.g. in terms of age, gender, disability, sexual orientation / identity, and social, ethnic and religious origin. A diverse and inclusive working environment with equal opportunities in which everyone can realize their potential is important to us. The following links provide further information on diversity and equal opportunities: https:/go.fzj.de/equality and on specific support options for women: https:/go.fzj.de/womens-job-journey
Place of Employment: Jülich Start Date: To the next possible date Salary: We will pay you a appropriate remunerationfor your thesis Application Deadline: The position will be published until it is successfully filled Index number: 2026M-0692 Your Job The transition toward renewable and converter-interfaced energy resources is creating increasingly fast and complex dynamics in modern power systems. In this Master’s thesis, you will develop a physics-informed digital-twinning approach to better characterize these dynamics and estimate relevant electrical and control parameters from transient voltage and current data.
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