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Master thesis: inverse design of nanophotonic through generative deep learning models (karlsruhe, de, 76131)

Karlsruhe
Abschlussarbeit
Fraunhofer-Gesellschaft
Designer
Inserat online seit: Veröffentlicht vor 11 Std.
Beschreibung

The Fraunhofer-Gesellschaft (www.fraunhofer.com) currently operates 75 institutes and research institutions throughout Germany and is the world’s leading applied research organization. Around 32 000 employees work with an annual research budget of 3.0 billion euros.



Would you like to gain experience in a modern and professional team and learn firsthand how research and development in the field of computational imaging works? Then you've come to the right place! At the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB, we turn the latest scientific findings into technical innovations and want to make our contribution to shaping the future.



Nowadays, metasurfaces play a crucial role in the development of ultra-compact and multifunctional lenses, as well as in other applications. However, the design process for metasurfaces presents challenges due to the extensive range of design options and the time-consuming electromagnetic simulations. In recent years, generative deep neural networks have made significant advancements, as seen in technologies such as ChatGPT and high-quality image generation. These networks can be utilized for the inverse design of nanophotonic devices.



Interested? Then apply now! We are currently looking for reinforcement for our team (Computational Imaging Research Group) that creates novel imaging systems with unprecedented capabilities.



Be part of change

* Literature review on state-of-the-art machine learning libraries and frameworks
* Research and develop machine learning models for inverse design of nanophotonics
* Optimize and evaluate model performance for real-world applications
* Documentation of the algorithms developed and results



What you contribute

* You have strong background in machine learning and deep learning techniques
* You are enrolled in a Master's program, e.g., computer science, electrical engineering, mechanical engineering, optics and photonics or a comparable field
* You have familiarity with generative models
* You also enjoy learning about new topics and contributing your own ideas



What we offer

* Good public transport connections
* An open and collegial working atmosphere and intensive support
* Work at the interface between now and the future
* Collaboration with industry partners
* We offer you the opportunity to work remotely (in consultation with your manager)
* A high degree of personal responsibility and the opportunity to contribute and implement your own ideas



We value and promote the diversity of our employees' skills and therefore welcome all applications – regardless of age, gender, nationality, ethnic and social origin, religion, ideology, disability, sexual orientation and identity. Severely disabled persons are given preference in the event of equal suitability. Our tasks are diverse and adaptable – for applicants with disabilities, we work together to find solutions that best promote their abilities.

With its focus on developing key technologies that are vital for the future and enabling the commercial utilization of this work by business and industry, Fraunhofer plays a central role in the innovation process. As a pioneer and catalyst for groundbreaking developments and scientific excellence, Fraunhofer helps shape society now and in the future.



Ready for a change? Then apply now and make a difference! Once we have received your online application, you will receive an automatic confirmation of receipt. We will then get back to you as soon as possible and let you know what happens next.





If you have any questions about the position, please contact:

Chia-Wei Chen

Phone: +497216091590

Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB

www.iosb.fraunhofer.de



Requisition Number: 82594 Application Deadline:

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Home > Stellenangebote > Design Jobs > Designer Jobs > Designer Jobs in Karlsruhe > Master thesis: Inverse design of nanophotonic through generative deep learning models (Karlsruhe, DE, 76131)

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