Obor: AI

Paid Internship – AI Specialist for Camera and Inspection Systems

Kick-start your career with Ball, the global leader in sustainable aluminum packaging. We’re looking for an intern to support our BoE Process and Engineering team. As an AI Specialist for camera inspection systems, you’ll be developing, testing, and implementing AI models for automated visual inspection. What will you be working on? Our expectations: What do…

Deep learning tools for gravitational wave science

The discovery of gravitational waves has brought a revolution in modern physics, opening up a new observational window into the Universe. In this project, the student will work on the development of machine learning tools for the detection and statistical analysis of gravitational waves from the mergers of black holes or neutron stars, using cutting-edge…

Deep learning the stock market

Machine learning offers new and exciting tools to analyse broad topics in financial time series. In particular, understanding stock market trends are necessary for informed investment decisions. During this placement, the student will harness the power of state-of-the-art deep learning algorithms to understand market trends and forecast stock prices. The results will provide insights on…

Intern for Deep Learning Applications and Data Analysis

Kick-start your career in AI and machine learning at the Institute of Computer Science of the Czech Academy of Sciences – a leading research institution focused on both fundamental and applied computer science. We are looking for a motivated intern with an interest in artificial intelligence and high-performance computing on modern multiprocessor CPU/GPU platforms. During…

Explanatory models for the interactive development of scientific theories

Machine learning methods are already a common part of scientific practice. However, the most accurate models are currently black-box models, where it is not easy to determine how the model works. It is possible that even accurate predictions are based on misinterpretation of data, for example due to incomplete training data. Explanable machine learning models…

AI methods in electron and fluorescence microscopy

New generations of electron microscopes and super-resolution fluorescence microscopes, combined with deep learning methods, offer unprecedented possibilities for the analysis of material and biological samples. During the placement, students will learn about reconstruction methods such as deconvolution and super-resolution, and gain insight into methods for automatic segmentation, detection and trekking of large numbers of small…

Segmentation of 2D biological objects

Segmentation of 2D biological objectsThe focus of the proposed work is the development of computer vision methods with an emphasis on object segmentation in 2D data. In collaboration with microbiologists, data will be analysed with specific tasks. The study will include the selection of appropriate metrics to compare the performance of different segmentation methods. Based…

Bayesian Network Analysis of Conspiracy and Disinformation Narratives

In a recent opinion survey conducted by Czech Radio, the Institute of Sociology of the Czech Academy of Sciences, and the Investigace.cz website, several questions were asked about belief in conspiracy theories, trust in institutions, and media consumption. A number of psychological variables were also included in the survey. The aim of the work is…