Master thesis: Inverse design of nanophotonic through generative deep learning models(m/w/x)

In this role, you will engage in cutting-edge research, developing and optimizing machine learning models for nanophotonics. Your responsibilities include reviewing literature, enhancing model performance, and documenting findings to contribute to innovative imaging systems.

Anforderungen

• •Strong background in machine learning and deep learning techniques
• •Enrollment in a Master's program in computer science, electrical engineering, mechanical engineering, optics and photonics, or a comparable field
• •Familiarity with generative models
• •Enjoyment of learning about new topics and contributing ideas