- Develop generative AI models for thermography images at Wendelstein 7-X
- Optimize real-time plasma control algorithms
- 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
- A sound understanding of the fundamentals of generative AI models
- Experience with imaging cameras is advantageous
- 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
- Flexible working hours
- Training and further education opportunities
- Company pension scheme
- Other social benefits
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Postdoctoral Researcher - München, Deutschland - Max-Planck-Gesellschaft zur Förderung der Wissenschaften e.V.
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 is affiliated to the European Fusion Programme. 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. At Wendelstein 7-X, the surface temperatures of ten divertor units are monitored by thirteen infrared systems, providing safeguards to maintain steady state operations without plasma interruptions. 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.
Your tasks
The IPP seeks to increase the proportion of employed women in those areas where they are underrepresented and explicitly encourages women to apply for this position. The IPP is committed to employing more disabled individuals and especially encourages them to apply.
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Are you interested?
Then we are looking forward to your complete online application until May 19 th , 2024 .
