Jazyk: Czech

Functional nanolayers for the real world

At the Laboratory of Functional Biointerfaces at the Institute of Physics of the Czech Academy of Sciences, we focus on the development and study of functional nanolayers that can resist unwanted surface contamination – so-called antifouling coatings. These special surfaces find broad applications in medicine, biosensing, and industry. Our goal is to understand and control…

Application of Cohesive Elements in Modeling Fracture of Heterogeneous Materials

The fracture process of concrete is a complex mechanism influenced by its highly heterogeneous internal structure: matrix/cement paste, aggregate, and pores. Damage development occurs at the interface between the cement paste and aggregate, where microcracks can form. The offered internship will focus on 2D/3D numerical modeling of this process using cohesive elements available in ANSYS…

Determining the endurance life of selected construction materials

Current methods for determining the fatigue life of concrete structures focus on reducing stresses in structural elements. However, this approach only considers the degradation of mechanical properties due to cyclic loading and not the gradual development of microcracks. This topic is primarily concerned with the experimental determination of the fatigue life of construction materials, particularly…

Intern for research into hydrogen storage materials

This internship offers students the opportunity to participate in research into modern materials designed for the efficient storage of hydrogen – a key element in future energy solutions. The student will participate in the preparation of materials for hydrogen storage, the creation of graphs from measured data, and their basic processing. The internship will also…

Intern for experimental measurement of crack propagation velocity in polyethylene samples

This internship offers students the opportunity to participate in research on the durability of polymer materials, specifically high-density polyethylene (HDPE), which is commonly used in the manufacture of pressure pipes. The aim is to experimentally monitor and evaluate the mechanism of slow crack growth in different types of samples. While methods are well developed for…

Intern for 4D STEM data analysis

This internship offers students the opportunity to engage in modern materials research using the 4D STEM (4D scanning transmission electron microscopy) method. This method allows the diffraction pattern to be recorded at each image point, which can then be analyzed to obtain information about phase composition, crystal orientation, or local deformations. During the internship, students…

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…

Intern for research into explainable AI models of scientific theories

This internship offers students the opportunity to participate in the development of explainable machine learning models (Explainable AI), which represent a rapidly developing field with the aim of making black-box models more accessible. These methods make it possible to reveal how models—such as neural networks—learn and arrive at their predictions. Special attention is paid to…

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…