This internship at the Institute of Physics of the Czech Academy of Sciences offers the opportunity to participate in research into modern laser technologies and the use of artificial intelligence for automatic data analysis. Our goal is to develop methods that can accurately describe the properties of extremely intense laser pulses – for example, from free electron lasers (FELs), which produce light with energies of up to tens of kiloelectronvolts.
Measuring and characterizing such lasers is a highly demanding discipline, which is why we are looking for ways to automate the entire process. Using neural networks (especially U-Net architecture), we analyze microscope images and recognize areas that have been irradiated by the laser. However, there is always room for improvement in existing algorithms.
What will the internship involve?
- Working with a specialized library designed for image segmentation
- Preparing experimental data for training convolutional neural networks
- Automatic image segmentation and creation of binary masks/probability maps
- Interpretation of the obtained data and comparison of the results obtained from different models
What we need:
- Knowledge of Python (basic orientation in libraries for working with data or machine learning is an advantage)
- Interest in physics, optics, and machine learning
- Carefulness when working with data
- Desire to learn new things and find your own ways to solve problems
What we offer:
• The opportunity to participate in cutting-edge research in laser technologies and AI image analysis
• Remote access to powerful computing resources
• Mentoring and expert guidance in a friendly research team
• Flexible working hours tailored to your free time and studies
Write good code and save other people from hundreds of hours of boring work!