prof. RNDr. Petr Kubíček, CSc.
Consultant
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Cartography, geoinformatics and remote sensing
Doctoral degree in full-time or combined form. The language of instruction is Czech.
The programme can be studied only as a single subject.
What will you learn?
The program Cartography, geoinformatics, and remote sensing aims to prepare top specialists in in given geographical disciplines including scientific and language skills. Study aims at the master graduates of geoinformatics and cartography but also at graduates of related disciplines like informatics or cognitive psychology from the Czech Republic and the whole Central European region.
Postgraduate study further develops theoretical as well as methodological skill focused on the particular scientific area of interest. Students regularly participate in ongoing projects both national ( (GAČR; TAČR Éta, Zéta; NAKI etc) and internationally based (H2020, Interreg etc).
Students also regularly cooperate with the commercial sector and further develop their communitacion, presentation, and team work skills.
Graduates of the program should be prepared primarily for further scientific careers in academic and research institutions, but also for potential employment in the private sector.
Practical training
Practical training (not including laboratory and field work) is not a compulsory part of the Ph.D. program.
Career opportunities
The graduates are able to cooperate both on the national and international level. They can apply the acquired qualification as leaders and senior scientist especially in following institutions:
- academic and research institutions focused on cartography and geoinformatics (CzechGlobe, Geonika), cognitive sciences (Academy of Science).
- commercial sector - research and development as well as project management in applied research.
- management of science and project development.
- state and ministry institutes (public administration bodies) at all levels of organisation (local, regional, country).
Graduates can generally address conceptual questions, scientific and organisational activities, and also teaching and transferring the experience knowledge.
Admission requirements
Data from the previous admission procedure (2 Jan – 15 Dec 2024)
The admission interview is usually in an online form and consists of two parts:
1) expert interview – the committee examines the applicant's expert knowledge and motivation. During the admission interview, the candidate will present the proposed dissertation topic, its expected schedule, the main methods used and the basic publication strategy. The committee will also assess the candidate's knowledge of cartography and geoinformatics, with an emphasis on the area of planned research. The admission interview also includes a discussion of the obligations of doctoral study and the requirements for its successful completion. (max. 70 points),
2) Language part – check of communication skills in English, interview and expert discussion is in English (max. 30 points)
More information about admission process for international applicants in general can be found in the section Admission Process.
Date of the entrance exam
The applicants will receive information about the entrance exam via e-mail usually at least 10 days before the exam.
Please, always check your e-mails, including spam folders.
Conditions of admission
To be admitted, a candidate must obtain a total of 50 out of 100 points, so that at least half of the required points are achieved in each section.
Successful applicants are informed of their acceptance via e-mail and subsequently receive an invitation to the enrolment.
Programme capacity
The capacity of a given programme is not fixed; students are admitted based on a decision by the Doctoral Board after assessing their aptitude for study and motivation.
Study options
Single-subject studies
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Full-time studies in czech
What will you learn? -
Combined studies in czech
What will you learn?
Dissertation topics
Single-subject studies
Prediction Analyses of Cloudiness for Multispectral Satellite Imagery
Supervisor: prof. RNDr. Tomáš Řezník, Ph.D.
OBJECTIVES: The research aims to explore mechanisms of cloudiness prediction analyses for multispectral satellite imagery, such as from Sentinel missions, for the purposes of applications in precision agriculture.
PLEASE NOTE: before initiating the formal application process to doctoral studies, all interested candidates are required to contact Assoc. Prof. Tomas Reznik (tomas.reznik [at] sci.muni.cz) for informal discussion.
Supervisor
Cartography for Virtual Reality
Supervisor: doc. Mgr. Bc. Zdeněk Stachoň, Ph.D.
Práce se zabývá aplikovatelností metod kartografie a geinformatiky v prostředí virtuální reality (VR). Práce si klade za cíl:
– Zjistit, zda a jaké metody a přístupy běžně využívané v rámci GIS nebo 3D vizualizací lze implementovat a efektivně využít v rámci softwarových řešení pro VR a následně je případně prakticky aplikovat.
– Zjistit, jestli existuje rozdíl mezi uživateli/studenty pracujícími s prostorovými daty ve VR a uživateli/studenty, kteří s těmito daty pracují v reálném prostředí (v rámci desktopu, nebo přímo fyzicky s mapami či jinými formami prezentace prostorových informací).
– Identifikovat případné moderující/intervenujících proměnných, které by měly vliv na práci uživatele s prostorovými daty ve VR a jeho celkovou interakci s prostředím.
– Analyzovat možnosti využití stávajících dostupných prostorových dat v rámci VR; především pak jejich přenositelnost do VR a aplikovatelnost z pohledu formátu dat a jejich konverze do formátů použitelných ve VR.
Notes
Zdroje: GOODCHILD, M. F. et al., (2012). “Next-generation Digital Earth,” Proc. Natl. Acad. Sci., vol. 109, no. 28, pp. 11088–11094, Jul. 2012. KUBÍČEK, P. et al (2017). Identification of altitude profiles in 3D geovisualizations: the role of interaction and spatial abilities. International Journal of Digital Earth, Taylor & Francis, roč. 12, č. 2, s. 156-172. ISSN 1753-8947. doi:10.1080/17538947.2017.1382581. MACEACHREN, A. M. et al. (1999). “Virtual environments for geographic visualization,” in Proceedings of the 1999 workshop on new paradigms in information visualization and manipulation in conjunction with the eighth ACM internation conference on Information and knowledge management - NPIVM ’99, pp. 35–40. ŠAŠINKA, Č. et al (2019). Collaborative Immersive Virtual Environments for Education in Geography. ISPRS International Journal of Geo-Information, Basel, Switzerland: MDPI, roč. 8, č. 1, s. Nestránkováno. ISSN 2220-9964. doi:10.3390/ijgi8010003.
Supervisor
Correction of hyperspectral data for water bodies
Supervisor: Ing. Kateřina Tajovská, Ph.D.
The research work will cooperate with the CzechGlobe scientific research projects in the area of correction of hyperspectral data from the Flying Laboratory of Imaging Systems (FLIS) with special attention to the area of water bodies. The candidate should have an advantage knowledge of remote sensing, basic programming skills, analytical thinking and ability of scientific publishing.
Supervisor
Optimisation of Farm Machinery Trajectory
Supervisor: prof. RNDr. Tomáš Řezník, Ph.D.
OBJECTIVES: The research aims to explore and evaluate environmental as well as socio-economic factors influencing the trajectory of farm machinery.
OUTCOMES: A parametric algorithm for optimised farm machinery trajectory is the primary outcome of the thesis.
NOTE: Before initiating the formal application process to doctoral studies, all interested candidates are required to contact Assoc. Prof. Tomas Reznik (tomas.reznik [at] sci.muni.cz) for informal discussion.
Supervisor
Supervisors
- prof. RNDr. Petr Dobrovolný, CSc.
- RNDr. Lukáš Herman, Ph.D.
- prof. RNDr. Milan Konečný, CSc.
- prof. RNDr. Petr Kubíček, CSc.
- doc. PhDr. Mgr. Hana Pokorná, Ph.D.
- prof. RNDr. Tomáš Řezník, Ph.D.
- doc. Mgr. Bc. Zdeněk Stachoň, Ph.D.
- Mgr. Karel Staněk, Ph.D.
- Mgr. Radim Štampach, Ph.D.
- Ing. Kateřina Tajovská, Ph.D.
Study information
| Provided by | Faculty of Science | |
|---|---|---|
| Type of studies | Doctoral | |
| Mode | full-time | Yes |
| combined | Yes | |
| distance | No | |
| Study options | single-subject studies | Yes |
| single-subject studies with specialization | No | |
| major/minor studies | No | |
| Standard length of studies | 4 years | |
| Language of instruction | Czech | |
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| Doctoral board and doctoral committees | ||