Master's Thesis – Inverse Design of Nanophotonics Using Generative Deep Learning Models
Fraunhofer-Gesellschaft
internship
Posted on:
Location Type: Office
Location: Karlsruhe • 🇩🇪 Germany
Visit company websiteJob Level
Mid-LevelSenior
About the role
- Literature research on modern libraries and frameworks for machine learning
- Research and development of machine learning models for inverse design in nanophotonics
- Optimization and evaluation of model performance for real-world applications
- Documentation of the developed algorithms and results
Requirements
- You are enrolled in a Master's program, e.g., Computer Science, Electrical Engineering, Mechanical Engineering, Optics and Photonics, or a related field
- You have solid knowledge of machine learning and deep learning techniques
- You are familiar with generative models
- You enjoy learning new things and actively contribute your own ideas
Benefits
- Good access to public transportation
- An open and collegial working atmosphere with extensive support
- Work at the interface between the present and the future
- Collaboration with industry partners
- The option to work from home in agreement with your supervisor
- A high degree of personal responsibility and the opportunity to contribute and implement your own ideas
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
machine learningdeep learninggenerative modelsalgorithm developmentmodel optimizationmodel evaluation
Soft skills
learning agilitycreativitycollaboration