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FR
Fraunhofer-Gesellschaft
last mo.

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

Karlsruhe
Full-timeWith Home Office
AI/ML

Description

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.

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Requirements

  • 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

Education

Currently in higher education

Tasks

  • Conduct a literature review on machine learning libraries and frameworks
  • Research and develop machine learning models for nanophotonic inverse design
  • Optimize and evaluate model performance for real-world applications
  • Document algorithms developed and results

Languages

EnglishBusiness Fluent

Benefits

Parking & Commuter Benefits

  • Good public transport connections

Informal Culture

  • Open and collegial working atmosphere

Other Benefits

  • Intensive support
  • Diversity promotion

Flexible Working

  • Opportunity to work remotely

Purpose-Driven Work

  • High degree of personal responsibility
  • Opportunity to contribute and implement own ideas
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