CTU Events

Call for projects for the integration of AI tools into research, creative and educational activities

08 Apr 2026-24 Apr 2026  

Call for projects for the integration of AI tools into research, creative and educational activities
Internal competition within the CTU Strategic Management Support Program

Committee: P. Mottl (chairman), J. Jakovenko, P. Pošík, J. Němeček, J. Roztočil,
Total Budget: 2 309 000 CZK, non-investment, financial co-participation at least 10% (It is a minimum. Primarily for projects supporting specific individual course(s) of a given department, a higher level is expected.) (CTU requirement)

Schedule:
24. 4. 2026 - Deadline for submission of proposals.
5. 5. 2026 - Selection of projects at the faculty.
22. 5. 2026 - Final confirmation of project support. Notice to the researchers.
30. 11. 2026 - Submitting preliminary project report results.
18. 12. 2026 - Final day to draw finances from the projects, completion of the projects.
3. 1. 2027 - Submitting project report results.
22. 1. 2027 - Deadline for project defence within the workshop

Aim of the internal competition:
The aim of the competition is to support practical testing of artificial intelligence (AI) tools directly in everyday research and educational practice, in specific teams, on specific data and for specific tasks. The competition is not focused on creating institutional rules or strategic documents, but on the direct use of AI tools and gaining real-world experience. The project outputs will form a knowledge base on the basis of which CTU will be able to deploy AI tools on a larger scale from 2027, with a clear idea of what works, under what conditions and with what benefits.

The competition pursues the following main objectives:
● Gain real-world experience using AI tools in research and teaching across faculties and components of CTU.
● Build a shared knowledge base about which tools and approaches deliver measurable benefits and are ready for wider deployment.
● Increase the efficiency and quality of research work through AI tools for data analysis, simulation, and hypothesis generation.
● Innovate educational processes – personalized learning, adaptive testing, automated feedback and teaching quality management.
● Prepare CTU for systematic and scalable deployment of AI from 2027.

Priority thematic areas:
The competition focuses on two practical areas of direct use of AI. Projects must be directed towards one of them or a related area that contributes to their fulfillment. The emphasis is on trying out the tools yourself and gaining transferable experience.

AI in education
Projects in this area verify specific AI tools and approaches in direct educational practice with the aim of gaining experience transferable to wider operations.
● Design and testing of AI tools for personalized learning and individualization of teaching materials.
● Adaptive testing – automatically adjusting the difficulty and scope of tests to student performance.
● Automated feedback to students via AI, including evaluation of written outputs.
● Related applications of AI in the educational process bringing measurable and transferable benefits.

AI in research
Projects in this area deploy AI tools directly into the research practice of research teams and document their contribution to the efficiency and quality of research work.
● Implementation of AI tools for collecting, cleaning, analyzing and interpreting research data.
● Using AI for simulations, modeling, and automated hypothesis generation for further validation.
● Working with uncertainty in the outputs of AI tools.
● Related applications of AI in the research process leading to concrete and documentable benefits.


Eligible expenses:
● Personnel costs (wages, rewards, scholarships, agreements on work carried out outside the employment relationship) directly linked to the implementation of the project. These costs may account for a maximum of 25% of the total eligible costs.
● Acquisition of software licenses, subscriptions and access to AI platforms and tools.
● Purchase of computing resources necessary for the creation and testing of prototype solutions (cloud computing, GPU capacity, etc.).
● Organization of workshops, trainings and educational events.

Ineligible expenses:
● Costs for routine operation of workplaces not related to the project.
● Investment costs beyond the normal acquisition price of small assets.
● Costs that are covered from other sources (double financing).

Project budget:
● Maximally 250 000 CZK


Project design requirements
The project proposal submitted to the competition must contain all of the following elements:
1. Project Title - A concise and understandable title reflecting the thematic focus.
2. Thematic Area - Classification into one or more priority areas (see section 3).
3. Project Objectives - A brief description of the project objectives and their link to the priority thematic areas.
4. Description of activities - An overview of planned activities with a schedule.
5. Outputs and results - How the achievement of the objectives will be measured.
6. Project team - Composition of the research team including roles and time load [PM unit – person month]. At least one FEL employee or FEL doctoral student must be a member of the research team. The proposer and all team members (except master's and bachelor's students) must include a link to their WWW page in the fel.cvut.cz domain in the proposal. Links must also be listed on usermap.cvut.cz. The proposal must include a list of all institutional projects in which members of the research team have participated in the last three years.
7. Budget - A detailed budget with justification for each item. If resources outside this call are used to finance activities related to the proposal, please indicate them and make it clear that there is no double funding.
8. Sustainability of results - A plan for how the activity will continue if the development project proves useful.
9. Ethics and responsibility - A description of the approach to the responsible and ethical use of AI within the project.
10. Standardized documentation - Specification of the form of final documentation, especially 'starter kits' and materials for assessing replicability, so that other faculties can easily adopt the solution.

The length of the proposal must not exceed 3 A4 pages (11pt), pdf format (which can be searched).

Mandatory proposal header:
● Name and email of the researcher
● Researcher's workplace
● Project title
● Total project costs
● Requested grant

Send the project proposal from the school address as an attachment in pdf format to: malecpav@fel.cvut.cz, and cc: mottlpat@fel.cvut.cz.

Evaluation Criteria:
The following criteria will be used in the selection:

● Relevance and consistency with priority areas - weight 20 %, maximal number of points 20
● Innovation and direct benefit - measurable impact on research or education - weight 20 %, maximal number of points 20
● Feasibility and quality of activity planning - weight 20 %, maximal number of points 20
● Transferability of results - potential for deployment in other workplaces and components, standardized documentation - weight 20 %, maximal number of points 20
● Sustainability of results after the end of the project - weight 20 %, maximal number of points 20


When selecting, preference will be given to projects in which multiple departments will participate.

Obligations, information for the researcher:
● All projects selected for funding will be published in full.
● The selection and management committee may check the progress of the solution during the project and, if serious shortcomings are found, terminate or shorten the project, in the case of good results and available funds, the project may be increased.
● The final presentations of the projects will be published.
● After possible modification, projects submitted to the FEE internal call for RPAPS 2026 projects can also be submitted to this competition, if they meet the criteria of this call.
● Researchers are obliged to present the results of the project in the form of a final workshop - sharing experiences, achieved results and inspiration for possible deployment of the solution on a larger scale in other parts of the university.
● In April 2026, CTU will offer several online training sessions dedicated to an overview and possibilities of AI tools relevant for research, creative and educational activities. In May, several hackathons will be held, where researchers will be able to try out some of the tools with expert assistance. The training sessions are open to academic and non-academic staff from all faculties and departments. Dates and registration will be specified and published by the university management. The content of the training sessions includes an overview of available AI tools, examples of their practical application and a discussion of specific use cases.

Expected outputs and results of the competition
At the level of the entire competition, the following key outputs are expected:
● Proven and documented experience with specific AI tools used in real research or educational environments.
● Shared knowledge base – an overview of tools, approaches and results that will inform the scaling of AI at CTU from 2027.
● Functional prototypes or deployed solutions in the areas of personalized learning, adaptive testing, or automated feedback.
● Tools for analyzing study data and data-driven teaching improvement.
● Documented benefits of AI tools in the research process – acceleration of analyses, new possibilities for modeling and interpreting data.
● Experiences and recommendations presented in the form of final seminars as inspiration for deployment on other components.
● Standardized project outputs (so-called starter kits and replicability assessments) intended to be included in the university-wide shared knowledge base.

Contact person

Mgr. Nikola Malečková