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The Department of Geoinformatics has an accredited four-year doctoral programme in Geoinformatics. Applications should usually be submitted by mid-May of the given year. The entrance examinations take the form of an interview in June of the given year. The course and conditions of doctoral studies at HGF are specified in the Study and Examination Regulations.

Those interested in doctoral studies can choose the topic of their doctoral thesis. Applicants should choose from the topics listed below and then contact a supervisor. Current topics are always available on the HGF website by March of the given year. If any of the topics are not satisfactory for the applicants, an option to suggest their own is available. In such a case, it is advisable to contact one of the supervisors well in advance of the entrance interview, and discuss the proposed topic so that it is clear whether the topic is feasible in our workplace and whether there is a suitable supervisor who could oversee the topic and would agree to the leadership. You can pre-select a suitable supervisor based on the supervisor's professional profile. See the links to the supervisor bios below.

Approved supervisors

Study programme Unmanned Systems

About study programme

The Unmanned Systems degree programme responds to the dynamically evolving market using these technologies in an increasingly wide range of human activities and addresses current trends within the strategic requirements of Industry 5.0 and Society 5.0, big data and artificial intelligence. Students are comprehensively introduced to the operation of drones, including legislative aspects, and gain hands-on experience flying drones and capturing and processing imagery and other records. Depending on the choice of the dissertation topic, they deepen their theoretical and practical knowledge in necessary areas such as development of new materials and design of unmanned vehicles, development of sensor equipment for unmanned vehicles, 2D and 3D mapping and monitoring using unmanned systems, autonomous operation of unmanned vehicles including collaborative systems, flight control of unmanned systems (U-space), development of methods for processing data from unmanned systems including real-time and on-line processing.
Faculty Faculty of Mining and Geology
Type of study Doctoral
Language of instruction English
Code of the programme P0099HGF002
Title of the programme Unmanned Systems
Regular period of the study 4 years
Coordinating department Department of Geoinformatics
Coordinator doc. Ing. Michal Kačmařík, Ph.D.
Key words data collection and processing
design and construction
Unmanned Aerial Vehicle
development of control, communication and sensor systems
drone