Combined study

4 years

prof. Ing. Martin Hartl, Ph.D.

Chairman :
prof. Ing. Martin Hartl, Ph.D.
Councillor internal :
doc. Ing. Jaroslav Katolický, Ph.D.
prof. Ing. Jiří Pospíšil, Ph.D.
doc. Ing. Jaroslav Juračka, Ph.D.
prof. Ing. Radomil Matoušek, Ph.D.
prof. Ing. Josef Štětina, Ph.D.
prof. Ing. Pavel Hutař, Ph.D.
doc. Ing. Petr Blecha, Ph.D., FEng.
prof. Ing. Petr Stehlík, CSc., dr. h. c.
Councillor external :
Ing. Jan Čermák, Ph.D., MBA

The main goal of the doctoral study programme is, in accordance with the Higher Education Act, to train highly qualified and educated professionals who are capable of independent scientific, research and creative activities in the field of design and process engineering. The graduates are equipped with knowledge and skills that enable them to work at Czech or international academic institutions or research institutes. The programme focuses on theoretical knowledge as well as practical experience in the field of doctoral studies. Cooperation with international research institutes is highly supported. The study programme is designed to fulfil demands and meet societal and industry requirements for highly educated and qualified professionals in the fields of design and process engineering.
Doctoral study programme is primarily based on research and creative activities of doctoral students. These activities are intensively supported by student participation in national and international research projects. Research areas include design (analysis, conception, design of machinery, vehicles, machine production and energy) and process engineering (analysis, design and projection of processes in the engineering, transport, energy and petrochemical industries).

A graduate of the doctoral study programme is a highly qualified expert with broad theoretical knowledge and practical skills, which enables him/her to carry out creative and research activities both independently and/or in a scientific team. The graduate is acquainted with current findings in the field of design and process engineering and is able to apply the knowledge in his/her research or creative activities. The graduate is also able to prepare a research project proposal and to oversee a project. At the same time, the graduate is able to make use of theoretical knowledge and transfer it in practice. Moreover, the graduate can adapt findings from related disciplines, cooperate on interdisciplinary tasks and increase their professional qualifications. The graduate participation on national and international researches and cooperation with international research institutions contributes to higher level of their professional competences. This experience allows graduates not only to carry out their own scientific activities, but also to professionally present their results, and to take part in international discussions.
The graduate can demonstrate knowledge and skills in three main areas and the synergy produces great outcomes.
1. Broad theoretical knowledge and practical skills closely related to the topic of the dissertation (see below).
2. Professional knowledge and skills necessary to carry out scientific work, research, and creative activities.
3. Interpersonal and soft skills and competencies - the graduate is able to present their ideas and opinions professionally, is able to present and defend the results of their work and to discuss them and work effectively in a scientific team or to lead a team.
According to the topic of the dissertation, the graduate will acquire highly professional knowledge and skills in mechanical engineering, in particular in design and operation of machines, machinery, engineering processes and vehicles and transport vehicles. Thanks to the broad knowledge and skills, graduates can pursue a career in research institutes in the Czech Republic and abroad, as well as in commercial companies and applied research.

A graduate of the doctoral study programme is a highly qualified expert with broad theoretical knowledge and practical skills, which enables him/her to carry out creative and research activities both independently and/or in a scientific team. The graduate is acquainted with state-of-the-art findings in the field of design and process engineering and is able to apply the knowledge in his/her research or creative activities. The graduate is also able to prepare a research project proposal and to oversee a project. At the same time, the graduate can make use of theoretical knowledge and transfer it in practice. Moreover, the graduate can adapt findings from related disciplines, cooperate on interdisciplinary tasks and increase their professional qualifications. The graduate typically finds a job as a researcher, academic personnel, computer scientist or designer. The graduate is also well equipped with skills and competences to perform well in managerial positions.

See applicable regulations, DEAN’S GUIDELINE Rules for the organization of studies at FME (supplement to BUT Study and Examination Rules)

The rules and conditions of study programmes are determined by:
BUT STUDY AND EXAMINATION RULES
BUT STUDY PROGRAMME STANDARDS,
STUDY AND EXAMINATION RULES of Brno University of Technology (USING "ECTS"),
DEAN’S GUIDELINE Rules for the organization of studies at FME (supplement to BUT Study and Examination Rules)
DEAN´S GUIDELINE Rules of Procedure of Doctoral Board of FME Study Programmes
Students in doctoral programmes do not follow the credit system. The grades “Passed” and “Failed” are used to grade examinations, doctoral state examination is graded “Passed” or “Failed”.

Brno University of Technology acknowledges the need for equal access to higher education. There is no direct or indirect discrimination during the admission procedure or the study period. Students with specific educational needs (learning disabilities, physical and sensory handicap, chronic somatic diseases, autism spectrum disorders, impaired communication abilities, mental illness) can find help and counselling at Lifelong Learning Institute of Brno University of Technology. This issue is dealt with in detail in Rector's Guideline No. 11/2017 "Applicants and Students with Specific Needs at BUT". Furthermore, in Rector's Guideline No 71/2017 "Accommodation and Social Scholarship“ students can find information on a system of social scholarships.

1. Advanced proactive multiparametric on-line and off-line diagnostics of electric drives of machinery

   The topic of the dissertation is focused on dealing with advanced proactive multiparametric on-line and off-line diagnostics of electric drives of machinery, authoritative evaluation of obtained data, storing the Internet of Things and subsequent active data processing with feedback influence on electric drive and machinery. The obtained results will be verified in selected engineering companies.

   Tutor: Hammer Miloš, doc. Ing., CSc.

2. Analysis and optimization of business data with the use of artificial inteligence methods

   The application of artificial intelligence methods for data optimization is appropriate for problems that are difficult to solve by classical deterministic mathematical methods or where the application of exact computational methods requires an unreasonable simplification of the problem. Obtaining optimal data by modern artificial intelligence methods is an important task in data classification and prediction. The PhD student will use the following approaches to solve the mentioned task: Analysis of artificial intelligence methods, analysis of algorithms for data classification and prediction.

   Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.

3. Analysis and search of local DNA structures

   The project represents the develop of a specialized software platform for DNA sequence analysis with focus on large volumes of data that will include required algorithms for search of structures like quadruplexes and for protein motifs analyses with visualization tools. Proposed software will be implemented as a web service and will be used for characterization and evaluation of the local DNA structures in DNA sequences with the focus to possibility to analyse whole genomes and different local DNA structures.

   Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.

4. Ball screw durability prediction of a CNC milling machining center

   During the operation of the CNC machining center, especially when machining the customer's workpiece, its feed axis is often heavily stressed. This stress is not only caused by cutting forces, but also by the place of clamping the workpiece. It happens that only a certain part of the working part of the ball screw is stressed and excessive wear is identified here, which significantly affects the durability of the ball screw. The goal of the work is to determine the prediction of the residual durability of the ball screw using a system approach and thereby prevent the production of non-conforming parts.

   Tutor: Holub Michal, doc. Ing., Dipl.-Ing, Ph.D.

5. Design of a tool for analysis and prediction of technological data

   Modern methods for analyzing and predicting technological data include artificial intelligence methods. These methods should be applied to problems that are difficult to solve by classical deterministic mathematical methods or where the application of exact computational methods requires an unreasonable simplification of the problem. Obtaining optimal data with modern artificial intelligence methods and algorithms is an important task in data analysis and prediction. The PhD student will use the following approaches to solve the mentioned task: Analysis of artificial intelligence methods, analysis of data prediction algorithms.

   Tutor: Šťastný Jiří, prof. RNDr. Ing., CSc.

6. Optimization and application of cavitation nozzle technology: surface cleaning, erosion testing of materials, wastewater treatment, medical applications

   The cavitation jet utilizes the principle of the formation of a cloud of cavitation bubbles at the mouth of the cavitation nozzle immersed in the liquid. The cavitation bubbles then collapse on the surface of the body (e.g. a dirty surface) or inside the liquid (for water purification applications), accompanied by significant pressure pulses and other effects. The aim of this dissertation is to describe the behaviour of the cavitation nozzle using computational modelling (multiphase CFD model) and advanced experimental techniques (mainly high-speed camera) and to optimise the nozzle for the selected application. The thesis will build on previous extensive research.

   Tutor: Rudolf Pavel, doc. Ing., Ph.D.

2. round (applications submitted from 16.09.2024 to 27.10.2024)

1. Aircraft parachute recovery system opening shock reduction

   The goal of study and thesis should be analysis and design of device(s) for aircraft parachute recovery system opening shock damping/reduction. Currently interconnection between fuselage and cannopy of parachute system is covered by high safety factor by regulatiuons. This increases substantially weight of structure. On the other hand also loads on canopy during opening could be reduced. Both effects will lead to decrease of total aircraft weight and improved efficiency with increased reliability and probability of safe recovery of aircraft and passengers. The study should be focused on theoretical modeling and simulation of dynamic phenomena during parachute opening with focus of loads distribution during peak shock transfered to lugs on airfcame. This should be combined with experimental study of different materials with high energy absorption capability to minimize weight of damping element for required loads. All future certification requirements should be kept in mind.

   Tutor: Jebáček Ivo, doc. Ing., Ph.D.