Faculty of Mechanical Engineering for University of West Bohemia
PhD in Theory and Design of Machines

Plzeň, Czech Republic

DEGREE TYPE

PhD

DURATION

4 years

LANGUAGES

Czech, English

PACE

Full time

APPLICATION DEADLINE

EARLIEST START DATE

STUDY FORMAT

Blended

Key Summary

About: The PhD in Theory and Design of Machines at the Faculty of Mechanical Engineering in Pilsen, active for over 70 years, is a doctoral programme in machine design. Applicants apply with a specific thesis topic and a chosen supervisor. Entry requires a follow-up master's degree. Study is full-time or combined and lasts 4 years, awarding the Ph.D. title.

Career Outcomes: Graduates enter research, industry and academia with roles such as research scientist, university lecturer, R&D engineer, design consultant and technical manager. You’ll apply machine design, theoretical modeling, experimental methods and project leadership across mechanical engineering, automotive, aerospace and manufacturing sectors.

Name of study program: Theory and design of machines P0715D270024
The standard length of study: 4 years
Guarantor of the study programme (SP): prof. Ing. Václava Lašová, Ph.D.
Deputy guarantor: prof. RNDr. Josef Voldrich, CSc.
Training departments: Department of Power Machines and Equipment (KKE), Department of Machine Design (KKS)
Form of study: full-time, combined
Language: Czech, English

Applicants for study in the doctoral study program apply for a specific topic of their thesis and to the supervisor of their choice.

About your studies

Graduates of the follow-up master's degree program may be admitted to study in the doctoral degree program in machine design. This study is the third, highest degree of university study, is full-time or combined and the standard study period is 4 years. Graduates from doctoral study programs are awarded the academic title of Doctor, abbreviated to Ph.D. after their name.

Timeline

During your studies, you take your state doctoral examination within two years from the start of the program, and it ends within four years with the defense of your thesis, which proves your ability and readiness for independent activity in your field of research or development. You choose the form of study and its schedule. We will create the conditions you need for your independent scientific, research, and creative activities.

Summary of doctoral thesis topics and supervisors for the academic year

Topic	Supervisor consultant - specialist
Application-oriented research and development of cooperative manufacturing and transport technology	Doc. Ing. Josef Formánek, Ph.D.
Application-oriented research and development of the modular hardware and software control system for manufacturing machines	Doc. Ing. Josef Formánek, Ph.D.
Application-oriented research and development of structural engineering design solutions of handling machines using "low-cost" control systems	Doc. Ing. Josef Formánek, Ph.D.
Industrial robotics in the context of Industry 4.0	Doc. Ing. Václav Vaněk, Ph.D. Ing. Roman Čermák, Ph.D.
Research and innovations of properties of mechatronic and other heterogeneous technical products based on optimization of their constituents	Prof.Ing. Stanislav Hosnedl, CS Doc. Ing. Josef Formánek, Ph.D.
Knowledge support of prediction, assessment, and risk reduction of technical products based on systematic predictive methods	Prof.Ing. Stanislav Hosnedl,CSc. Ing. Josef Dvořák, Ph.D.
Knowledge support of tacit and recorded knowledge management of engineering design development of technical products based on systematic predictive methods	Prof.Ing. Stanislav Hosnedl,CSc
Road vehicle as a subsystem of the transport system in terms of increasing the transport effectivity	Doc.Ing. L. Němec, CSc. Prof. Ing. S. Hosnedl, CSc.
Road vehicle as a subsystem of the transport system in terms of increasing the transport safety	Doc. Ing. L. Němec, CSc. Prof. Ing. S. Hosnedl, CSc.
Waste Heat Recovery and Utilization from Heat Engines	Doc. Ing. Petr Eret, Ph.D.
Multidisciplinary Design Optimization of Heat Exchanger	Doc. Ing. Petr Eret, Ph.D.
Supervised machine learning in fluid mechanics simulations	Ing. Richard Matas, Ph.D.
Advanced simulations of processes in technical systems with fluid flow	Ing. Richard Matas, Ph.D. Ing. Jindřich Kňourek, Ph.D.
Dynamics of wakes behind bluff-bodies	Prof. Ing. Václav Uruba, CSc. V. Janovich