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    Postdoctoral researcher - München, Deutschland - Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.

    Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V. background
    Ganztags
    Beschreibung
    Postdoctoral Researcher (m/f/div)

    The Max Planck Institute for Plasma Physics as an institute of the Max Planck Society for the Advancement of Science (registered association) is one of the leading centers for fusion research and is engaged in developing the physical foundations for a future fusion power plant.

    The institute for Plasma Physics in Greifswald is a world-renowned laboratory conducting pioneering research in the field of magnetic fusion science, with a focus on the Wendelstein 7-X stellarator.

    Our international research team focuses on plasma physics and engineering to advance sustainable energy solutions through controlled fusion reactions. One of the research objectives is the safe operation of high power fusion devices. Precise management of thermal loads on plasma-facing components is critical.

    The integration of machine learning algorithms offers a promising solution to dynamically predict and manage these thermal loads, thereby improving safety and operational efficiency.

    We offer a position for a Postdoc (m/f/div) within the division Stellarator Heating, Plasma Diagnostics and Optimization (E3) to develop a generative AI framework to predict power load patterns on plasma-facing components of the Wendelstein 7-X, providing a novel solution to enable more efficient and safer plasma control strategies through data enrichment.

    This framework will utilise various data sources including diagnostic data, existing infrared images, and planned magnetic configurations. Join us in this exciting endeavor at the forefront of fusion research.
    Evaluation and processing of data from experiments in connection with infrared thermography
    Supervision of master / practica students
    Completed studies and a doctorate in the field of computer vision, machine learning, or physics
    Professional experience in development of machine learning algorithms
    Very good command of written and spoken English
    A strong team spirit
    Research work within one of the largest scientific projects in Germany
    Salary is according to the TVöD Bund grade E 13
    Training and further education opportunities
    Company pension scheme
    Other social benefits
    For information on data protection and the handling of your personal data please visit our website .
    Then we are looking forward to your complete online application until May 19 th , 2024 .


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