The topic targets Activities of the largest Czechoslovak companies in Brazil/South America 1919-1989.

In this project, participants will search and test free AI tools for research in the humanities, including their advantages and disadvantages.

Manufacturers provide both basic and advanced services for their products. Advanced services include, for example, remote monitoring, repair, predictive maintenance. Some companies are starting to use AI tools for advanced services as well.

Financial markets are increasingly influenced not only by economic fundamentals but also by digital information, artificial intelligence and human behaviour. Investors make decisions based on financial news, social media, online discussions and AI-generated content, making information processing an essential part of modern financial markets.
This internship introduces students to contemporary research methods used to study financial decision-making from a behavioural perspective. Students will learn how researchers analyse scientific literature using the PRISMA methodology and bibliometric mapping in VOSviewer, while gaining an introduction to sentiment analysis, natural language processing and the role of emotions in financial markets.

The internship is designed to provide students with practical research experience rather than advanced programming skills. It offers an accessible introduction to current research topics in behavioural finance and artificial intelligence.

This project focuses on the use of Microsoft Power Automate to automate repetitive business processes in an industrial engineering environment. The aim is to explore how low-code tools can be used to streamline information flow, data management, communication between systems and decision support. The project may include the use of artificial intelligence (e.g. AI Builder) for document recognition, prediction or data analysis.

This topic explores the intersection of academic education and professional practice in natural risk management, with a specific focus on spatial planning. The project is based on a comprehensive literature review, identifies good practices and maps existing educational programs of universities in Brazil relevant to natural risk management and spatial planning. A core part of the project is the focus on identifying key stakeholders in natural risk management and their needs (regarding motivations, barriers, visions, etc.). This phase of the project includes qualitative research through semi-structured interviews with stakeholders (planners, designers, state officers, municipalities, university teachers etc.) and students. This empirical research aims to uncover synergies and gaps between academic preparation and practical implementation and highlight opportunities for curricular innovation and collaboration. The findings are expected to help shape recommendations for strengthening coherence between education and practice in the context of sustainable and resilient spatial development.

This topic examines British foreign policy in Europe from the final phase of the Napoleonic Wars and the Congress of Vienna to the revolutions of 1848. Possible areas of research include the Vienna settlement and the Congress System, the Belgian Question, the Polish November Uprising, British-Russian rivalry, the Iberian civil wars, the Eastern Question, and relations between Lord Palmerston and Metternich\\\'s Austria. According to the intern\\\'s interests and previous experience, the project may concentrate on one selected case study and combine recent scholarship with published or digitised primary sources.

The circular economy (CE) is a vital concept linking environmental sustainability with business strategy. It emphasizes redesigning products and services in order to minimize waste and keep resources in use as long as possible. Circular business models significantly reduce raw material extraction and waste. The European Union’s Circular Economy Action Plan and other global initiatives make such circular innovations a strategic imperative. In this project, students will explore both theory and practice: they will study CE principles, relevant policy frameworks and business model innovations, then apply these concepts to analyze real-world case studies.

This topic explores corporatism as a framework for analysing non-democratic political systems, focusing particularly on Philippe C. Schmitter’s concept and its application to Soviet-type regimes.

The topic is is about the usage and properties of the machine learning processes applied in the context of embedded, often very resource-limited, platforms. Results of the internship can enhance existing solutions to many practical problems, to enhance their parameters/properties, to propose a new solution for solved problems, to identify further prospective application areas etc.