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International applicants for doctoral study (Czech and Slovak Republics applicants NOT included)
Doctoral degree in full-time or combined form. The language of instruction is Czech.
The programme can be studied only as a single subject.
Application deadline depending on the admission procedure chosen (midnight 30 November 2024 or 15 December 2024)
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 (not including laboratory and field work) is not a compulsory part of the Ph.D. program.
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:
Graduates can generally address conceptual questions, scientific and organisational activities, and also teaching and transferring the experience knowledge.
More information about admission process for international applicants in general can be found here.
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.
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.
International applicants for doctoral study (Czech and Slovak Republics applicants NOT included)
Admission to Doctoral degree programmes in 2024/2025 (beginning: Spring 2025)
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.
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.
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.
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.
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.
Provided by | Faculty of Science | |
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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 | |
Collaborating institutions |
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Doctoral board and doctoral committees |
Consultant
E‑mail: |
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