Study Programmes and Branches of Doctoral Studies

Academic Year 2025/2026

Study Programme Algebra, number theory, and mathematical logic

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study program Algebra, number theory and mathematical logic offers students an advanced education in a selected area. The education allows the program graduates to follow contemporary research. It teaches them basics of independent scientific work and how to approach various abstract problems.

Prospects for graduates: The graduates have advanced knowledge of contemporary algebra, mathematical logic and number theory, verified by successfuly passing the state doctoral exam. They are able to make use of recent scientific achievements and develop and apply them to solutions of concrete problems. They are also able to do systematic research, including publication and presentation of their results in research journals and at international conferences. A substantiv part of their Dissertation has been published in a research journal. They have the capacity to start a successful academic careeer at universities and research institutions both in the Czech Republic and abroad, but also work in R&D departments of various companies worldwide.

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Study Programme Atmospheric physics, meteorology and climatology

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study program is focused on a broad spectrum of atmospheric phenomena and processes that are physical in nature, while also playing a role in interdisciplinary contexts—such as atmospheric chemistry, oceanography, physical geography, environmental sciences, and more. Within Charles University, the program is unique for its comprehensive perspective on the dynamic system of Earth's atmosphere through extensive interdisciplinary connections. It is also the only program in the Czech Republic that offers education in the fields of atmospheric physics, meteorology, and climatology. Methodologically, the program employs a wide range of applications from theoretical, experimental, and computational physics in an interactive and complementary manner.

Prospects for graduates: Graduates acquire comprehensive scientific expertise for studying atmospheric processes in a broader context, including other processes within the climate system and adjacent regions of outer interplanetary space. Their knowledge profile is defined by subjects such as atmospheric physics, dynamic and synoptic meteorology, atmospheric process modeling, climatology and climate change, boundary layer phenomena, turbulence and flow modeling, atmospheric chemistry and air quality, as well as characteristics of the upper layers of the atmosphere. They are equipped to creatively apply their acquired knowledge in academic institutions, sector-based research, and various applied fields within the commercial sector.Graduates have a wide range of career opportunities, for example in research institutes and university departments, in industrial development centers focused on flow studies, in business environments where expert skills in statistical modeling are relevant, in crisis management related to extreme meteorological events, and in numerous economic sectors influenced by atmospheric processes—such as energy.

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Study Programme Bioinformatics and computational biology

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: Bioinformatika i výpočetní biologie jsou multidisciplinární vědní obory na pokraji informatiky (především algoritmizace, vývoje softwaru, datového inženýrství), matematiky (především pravděpodobnosti, statistiky, matematického modelování) a biologie (především molekulární a evoluční) jejichž cílem je efektivní zpracování, analýza a modelování biologických dat a procesů na molekulární a buněčné úrovni. Společným jmenovatelem bioinformatiky a výpočetních biologie, kam spadají i oblasti jako je systémová biologie, neuroinformatika, bioimaging či počítačový vývoj léčiv, je vývoj analytických postupů a softwarových nástrojů pro zpracování a analýzu velkých, doménově specifických a heterogenních dat s cílem porozumět buněčným procesům na molekulární úrovni, poučit se z evoluce daných procesů a následně aplikovat tyto poznatky především v medicíně a biotechnologiích.

Prospects for graduates: Absolvent disponuje znalostmi klíčových oblastí informatiky jako jsou algoritmizace nebo vývoj softwarových systémů. Rovněž je dobře obeznámen s nejdůležitějšími metodami a novými poznatky v oblasti přírodních věd odpovídající tématu jeho/její disertační práce. Absolvent má schopnost definovat problémy, přicházet s přístupy k jejich řešení, tyto implementovat a výstupy své práce prezentovat a obhájit v domácím i mezinárodním kontextu. Absolvent najde uplatnění především ve výzkumu a vývoji, a to jak v akademické, tak v komerční sféře, ať už se jedná o pozice vyžadující zpracování a analýzu biomolekulárních dat (např. v nemocnicích), nebo o výzkumné pozice ve farmaceutickém průmyslu či v biotechnologických firmách. Nicméně interdisciplinarita oboru vyžaduje, aby byl absolvent schopen integrovat poznatky a data z různých domén, čímž je připraven i na práci v obecné datově orientovaných pozicích mimo oblast přírodních věd.

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Study Programme Biophysics, Chemical and Macromolecular Physics

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The program focuses on education in the interdisciplinary area at the interface of physics, chemistry, and biology, approached from the perspective of physical description and centered on experimental and theoretical physical methodologies. It prepares specialists for independent scientific work in solving tasks related to both fundamental and applied research within interdisciplinary fields involving physics, chemistry, and—depending on the focus of the dissertation—also biology.

Prospects for graduates: The graduate of this doctoral program is a specialist prepared for independent scientific work in both fundamental and applied research within the natural sciences, particularly in interdisciplinary fields spanning physics, chemistry, and biology. They possess deep knowledge of relevant experimental and theoretical methods, as well as expertise in chemistry (or biology), enabling them to join research teams with chemical or biological orientations.Graduates are well-suited for careers in fields such as biophysics, biochemistry, physical chemistry, chemical physics, macromolecular physics and chemistry, microbiology, and biologically focused medical research. They find employment at academic research institutions, development centers, and as senior experts in laboratories specializing in physicochemical or biophysical-biological analysis

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Study Programme Computational linguistics

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: Computational linguistics is an interdisciplinary scientific field involving mathematics (including topics such as discrete mathematics, statistics and probability), computer science (e.g. algorithmization, machine learning, artificial intelligence) and classical linguistics (e.g. morphology, syntax, language typology). Computational linguistics investigates language from a formal point of view, and it aims at developing methods that could be used in software applications in the field of Natural Language Processing, in which languages in their spoken or written form are handled.

Prospects for graduates: The graduate of this study program possesses theoretical knowledge as well as practical experience concerning description of natural languages and applications of natural language processing, and is able to apply them during development, implementation and evaluation of experiments in this field

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Study Programme Computational mathematics

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study programme provides advanced theoretical and practical knowledge of the computational mathematics, which deals with solution of mathematical problems describing phenomena in natural, technical and social sciences. The study is focused on the understanding of problems in a wider context. The study includes the theoretical aspects of the methods of the computational mathematics as well as a computer solution of the mathematical tasks motivated by practical problems. The students are prepared for development of the field itself as well as to employ the achieved knowledge in solving mathematical problems in natural and applied sciences.

Prospects for graduates: The graduate gained deep theoretical knowledge and practical skills for the numerical solution of mathematical problems describing various natural, technical or social phenomena. He/she is able to propose an optimal solution approach for the given problem, including the choice of a suitable method as well as its efficient algorithmization. The graduate is able to analyze the chosen method and to implement it on computers. He/she is able to evaluate the outputs of the computational process and consequently propose suitable modifications of the applied technique. The graduate can recognize the limits and weaknesses of the approaches used and assess the suitability of methods and implementations in application software.

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Study Programme Computer Science – Software Systems

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The program addresses open topics in software system analysis, development and application. In both theoretical and practical terms, it has foundations in the research of software architectures, programming languages and notations, together with tools and methods for software analysis and construction. These are studied both in general terms and in the context of important software system classes such as the information systems, or the distributed or parallel systems. On the creative side, the program combines projects of basic and applied research, often with strong experimental aspects, with outputs including research prototypes alongside traditional publications.

Prospects for graduates: The graduate possesses advanced computer science knowledge in the software systems domain, and can further expand this knowledge through both individual and team research activities, apply this knowledge in practice, and pass it on through teaching. The graduate also commands general knowledge and skills required to systematically apply specialized knowledge in problem solving – identifying the problem at hand, collecting relevant information, creatively applying this information to solve the problem, and defending the solution in competitive international contexts. The graduate can adapt to the conditions and requirements of dynamically evolving software systems practice.

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Study Programme Computer Science – Theory of Computing, Discrete Models and Optimization

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The program aims at providing the graduate with knowledge and research experience in a wide range of fields in discrete mathematics and theoretical computer science, based both on contemporary theoretical trends and on applications in physics, biology and other branches of science. The graduate gains knowledge and experience necessary to contribute to the research and development on international level and is ready to take a leading role in shaping the trends in these fields.

Prospects for graduates: The graduate will gain deep knowledge and research experience applicable in a wide range of fields in discrete mathematics and theoretical computer science. They will be able to apply contemporary algebraic, geometric, probabilistic and structural methods both in further developments of the theory and in applications in physics, biology, and other branches of science. The graduate has knowledge and experience necessary to contribute to research and development on international level and is ready to take a leading role in shaping the trends in these fields.

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Study Programme Computer Science – Visual computing and computer games

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The program focuses on the education of graduates prepared to solve research problems in the sub-area of computer science related to the generation and processing of visual information (computer graphics, image analysis, machine vision) and/or computer games development. The primary means of education is independent research, publication and presentation of research results, as well as their eventual transfer to the industry through student internships. The creative activity within the program focuses on developing new or improving existing mathematical methods, algorithms and technologies dealing with computer processing of visual information and with computer games. The program reflects the growing demand for advanced technologies and builds on the exceptional expertise of MFF UK and UTIA ASCR in these research areas. Graduates can be employed in academia, public research institutions, and private companies.

Prospects for graduates: Graduates are equipped with theoretical knowledge and practical experience in the major areas of computer graphics, image analysis, machine vision, and computer games technology. They have knowledge of the state-of-the-art methods used in these fields and possess the ability to apply these in solving research problems as well as practical tasks. Graduates can work in both private and public enterprises focusing on computer graphics (film production, computer animation, realistic rendering, 2D and 3D printing, etc.), image analysis and computer vision (CCTV, microscopy, remote sensing, military and medical applications, security systems, biometric data recognition, etc.) or in the development of computer games and interactive systems of virtual and augmented reality.

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Study Programme General Questions of Mathematics and Computer Science

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study program is primarily designed for graduates of mathematics and computer science teacher education, allowing them to further deepen the knowledge gained during their master's studies while participating in current research. The program focuses on elementary mathematics and computer science, their history, and methods of instruction. In elementary mathematics and computer science, the areas covered build upon high school curricula as well as the content of the master's teacher training program, and suitably expand upon them.

Prospects for graduates: The graduate possesses a knowledge of university mathematics/computer science, and is familiar with the history of the subject. His/her skills acquired in the master's program have been deepened and extended in the area related to his/her dissertation thesis. The graduate is also acquainted with the most important methods in the education of mathematics/computer science.

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Study Programme Geometry, topology, and global analysis

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The program Geometry, topology, and global analysis offers to students a broad and deep knowledge in the selected areas. The aim is to train the students to be able to learn and use new scientific achievements, mathematical methods and theories, independently develop and apply them, and present the results at international conferences and meetings. The program prepares students to pursue an academic career at universities, scientific institutes, and also in companies and firms having applied research and development branches.

Prospects for graduates: The graduate has a broad and comprehensive knowledge of theoretical foundations of main mathematical disciplines of the program. He/she is trained to learn and use new scientific achievements, new mathematical methods and theories, to develop them and to apply them, and to present their results at international conferences and meetings. The graduates are very suitable for an academic career at universities, scientific institutes, and also in companies having applied research and development branches. Their education is in particular suitable for applications in mathematical physics.

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Study Programme Mathematical analysis

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study field of mathematical analysis is focused on the studium of basic and advanced parts of mathematical analysis. It is a subdiscipline of mathematics whose primary goal is the description of natural or social processes which involve certain form of a dynamic progress, mostly a motion or a change. The basic priciples of mathematical analysis consist of all forms of limiting processes. The top education in mathematical analysis consists of the ability to solve differential equations of all types.

Prospects for graduates: The graduate has gained deep theoretical knowledge as well as practical skills of techniques of advanced mathematical analysis. He/She is capable of solving difficult problems requiring analytical mind. He/She is able to understand a given task well, to suggest an optimal method of solution and finally to carry out the solution. He/She can be a significant asset to any field of human activity which requires the ability of analytical thinking, for example in science and research in natural, applied or social sciences, in both academic and commercial sphere, home or abroad.

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Study Programme Mathematical and computer modeling

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: It is an interdisciplinary study branch which connects classical physics (particularly continuum mechanics and thermodynamics) with mathematical analysis and numerical mathematics. The student should go through the construction or understanding of the physical model, its mathematical analysis up to its numerical solution. Due to the complexity of problems studied both in the research and in the praxis a closed colaboration among specialist from different areas is needed. Typically, the physicists and engineers contruct the models and mathematicians study the mathematical properties of the models and solve the models numerically. These specialists often use different languages to describe the same problem. The graduates of this programme should be able to communicate with all of them and are therefore prepared to lead such groups. Moreover, they should also be prepared to solve simpler problems by themselves: from the construction of the model through its analysis up to its numerical solution.

Prospects for graduates: The holder of the diploma graduated from the doctoral study of a program which is combined between mathematics and classical physics and is directed to modelling in the physics of solids, liquids and gases with possible applications in the material science, geophysics, biology or medicine. Due to the content of the doctoral thesis the student dealt with creation or properties of models in mechanics and thermodynamics of fluids and solids, the connected mathematical or numerical analysis of the corresponding systems of partial differential equations or their numerical solution. The graduates of this program have good knowledge of mathematical and numerical analysis, classical physics and applications of numerical methods, and are able to fomulate, analyze and numerically solve real world problems.

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Study Programme Particle and Nuclear Physics

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The program has two specializations: particle physics and nuclear physics. Study within this programme is based on teaching the theoretical and experimental aspects of nuclear or particle physics, supported by detailed understanding of quantum mechanics, quantum field theory and phenomenology of nuclear and subnuclear processes. Particular emphasis is placed on mastering relevant theoretical computational methods and familiarization of the data acquisition and analysis, including effective control of information technology. Students should employ and develop these skills in their own scientific work, which is an important part of the doctoral programme.

Prospects for graduates: Depending on the chosen specialization, a graduate has a deep knowledge in modern particle or nuclear physics and is a qualified expert in the experimental or theoretical branches of these fields. He or she can find employment especially in basic research of academic institutions, partly in applied research. Graduates have experience of working in, or are ready to integrate in international scientific collaborations. A typical graduate of a given branch has a considerable degree of professional adaptability, especially thanks to the experience gained in team work and the use of modern technologies and tools

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Study Programme Physics Education and General Problems of Physics

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study program focuses on the didactics of physics and general questions of physics. The academic disciplines that form the foundation of the program include physics, physics education, pedagogy, and psychology. Its main goal is to provide students with a comprehensive understanding of the issues related to physics education, to train them in independent scientific research in this field, and to offer deeper insight into selected areas of physics.The program is a natural continuation of the Master's program in Physics Education for Secondary Schools, which can be studied at Charles University exclusively at the Faculty of Mathematics and Physics. It is therefore logical that this faculty also offers a doctoral program focused on the didactics of physics and general questions of physics. The program is unique in that it is the only one at Charles University that provides the opportunity to study physics didactics at the doctoral level

Prospects for graduates: The graduate possesses advanced knowledge in physics, physics education, and pedagogical-psychological disciplines, as well as in philosophy or the history of physics, and is well-prepared for independent scientific work in various areas of physics education or in the philosophy and history of physics. With a specialization in physics didactics, the graduate is capable of addressing challenges related to physics education in primary and secondary schools, designing, conducting, and evaluating research in the field of physics education.

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Study Programme Physics of Condensed Matter and Materials Research

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The aim of this program is to provide students with advanced experimental and theoretical knowledge and skills that comprehensively cover condensed matter physics and materials research, and to prepare them for active and creative application of the acquired knowledge in modern directions of fundamental research as well as relevant practical applications

Prospects for graduates: The graduate of this doctoral program is a specialist qualified for independent scientific work in basic and applied research in the field of study of physical properties of condensed matter and material research. He has a deep knowledge of relevant theoretical approaches (quantum theory, thermodynamic and statistical physics) and their application in theoretical and experimental physics of condensed systems. He is acquainted with modern experimental methods and technological processes. He is fully qualified for work in physical, material, chemical and biomedical research institutions and universities but also as a leader in laboratories of applied material research and development or in testing laboratories in industry

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Study Programme Physics of nanostructures and nanomaterials

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The goal of the doctoral study program (DSP) is to educate excellent experts in the physics of nanostructures and nanomaterials suited for future carrier in basic and applied research in nanotechnologies. The main pillars of the DSP are the theoretical and experimental condensed matter physics and physics of surfaces, advanced experimental and theoretical methods for studying the nanostructures, and smart technologies for preparation of nanostructures and nanomaterials. The DSP is of highly interdisciplinary nature and fits to the cutting-edge topics of current physical and material sciences like spintronics, nanoelectronics, nanomedicine and quantum computing. It is the only DSP in the Faculty of mathematics and physics, which integrates various areas of physics and materials research with outreach to chemistry, biology and medicine. In coherence with the tradition of the education in the Faculty of mathematics and physics, the ultimate goal of the education in the DSP is to provide deep theoretical background for understanding the key physical principles and phenomena underlying the unique properties of nanostructures and nanomaterials.

Prospects for graduates: The graduate of the PhD study branch Physics of nanostructures will be competent in the theoretical and experimental physics of low-dimensional structures in semiconductor, metallic, and dielectric materials, as well as biological, plasmonic, and hybrid nanostructures. According to the focus of the PhD thesis, he/she will be an expert in the preparation and growth of various types of nanostructures and in the application of experimental and theoretical methods of their investigation. The graduates can practice in basic physical, chemical or biophysical research, as well as in applied material research, biomedical engineering, catalysis research, nanofluidics, in the research of micro- and nanomechanic systems, and industrial nanotechnology.

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Study Programme Physics of Plasmas and Ionized Media

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study program covers all aspects of plasma physics and with extensions to theoretical physics (elementary processes) and to some topics of astrophysics (interplanetary space plasma, dust / ice cloud problems in the solar system) and nuclear fusion. Studies include also borderline disciplines such as plasma chemistry, plasma interaction with solid surface and complex plasma. The program prepares professionals with a broad foundation in mathematics, physics, and computer modeling of physical processes and with deep knowledge of plasma physics.

Prospects for graduates: The graduate becomes expert with a broad fundamental knowledge in mathematics, physics and computer modelling of physical processes and with a deep understanding of plasma physics. The study includes closely related topics as plasma chemistry, interaction of plasmas with solid surfaces, and complex plasmas. The graduate is experienced in theoretical and experimental methods of plasma physics that can be applied, due to his/her ability of abstract and creative thinking, in a number of other disciplines of both fundamental or applied research at universities, in scientific institutes and technological centres as well as in the industrial sector.

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Study Programme Physics of Surfaces and Interfaces

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study program provides advanced teoretical and practical knowledges in the area of surface science, physics of interfaces and thin film physics, areas supporting contemporary nanotechnology. It includes study of surface processess and structures at atomic scale using a number of various experimental techniques for surface imaging and analysis. The study covers also borderline disciplines related to surface chemistry (surface catalysis,electrochemistry, on-surface synthesis). The program prepares professionals with a broad foundation in mathematics and physics and with a deep knowledge in the area of surface science and physics of thin films.

Prospects for graduates: Graduates obtain deep education in physics of surfaces and thin films based on knowledge of physical properties of solid state surfaces and interfaces and of physical processes related. The graduates are prepared for using modern methods of surface analysis and have got practical experience with a number of top experimental techniques used in surface science. PhD theses are focused on problems of basic research in material science and nanophysics. Experimental approach is in close relation with theoretical study of problems. Graduates successfully work in Czech or foreign scientific institutions focused on materials research and nanotechnologies. Special knowledge on surface analysis makes them desirable for applied research in industry.

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Study Programme Physics of the Earth and Planets

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The program provides advanced theoretical knowledge of the physics of the Earth and planetary bodies and trains students in theoretical and numerical solutions of the forward and inverse problems. The graduate is able to carry out independent scientific research focused on the physical processes in the Earth, planets and satelites. He/she can pursue career in the research institutions focused on Earth and planetary evolution, but also in the industrial research focused on the issue of continuum mechanics.

Prospects for graduates: The graduate is capable to carry out the independent and creative scientific research in the field of the Physics of the Earth and planets. He/she is able to design and numerically solve mathematical models of the physical processes and interpret and present their results.

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Study Programme Probability and statistics, econometrics and financial mathematics

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The study branch is based on mathematical background, which involves probability theory, stochastic processes, mathematical and computational statistics, optimization, econometrics, operational research, financial and insurance mathematics. The connected creative work is represented especially by the basic mathematical research, and partly by applications, e.g. in finance and insurance. The doctoral students enhance their knowledge in advanced courses and seminars, according to their individual study plans. Under the supervision of their advisor they provide research work in a given topic and publish their results and presents them at scientific conferences. The study branch will prepare experts who can become successors of faculty professors, others will profit from their mathematical thought in practice.

Prospects for graduates: The graduates have advanced knowledge in probability theory, mathematical statistics and optimization, based on abstract mathematics. They are able to make use of new scientific achievements, mathematical methods and modern computational tools, develop and critically evaluace them. They are educated to a systematic analytical work and capable of publishing their results, presenting them at international conferences and meetings. The graduates are recommended for an academic career at universities and scientific institutes, also in companies with a need of applied research and development. Those oriented to economical background are lead to the construction of econometric models, they manage modeling and control of complex economical systems including financial and insurance projects.

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Study Programme Quantum Optics and Optoelectronics

Form of study: combined, combined

For admission requirements see Admission procedure.

Outline of study: The students of the branch of study will have acquired comprehensive knowledge and skills required for conducting independent research and other scientific activities in quantum optics and optoelectronics. In accord with individual study plans students concentrate on the topic of their thesis. They can find employment in both fundamental and applied research at universities, research institutes, and in industry. The progress in application of optics in numerous research areas (physics, biology, chemistry, medicine, communications, and robotics) leads to an increase in the range of employment possibilities

Prospects for graduates: The graduate in this branch of study has a sound theoretical and experimental knowledge of quantum optics and optoelectronics. He/she is able to conduct an independent scientific research and present the obtained results at conferences and in journal publications. The graduates can find employment in both fundamental and applied research at universities, research institutes, and in industry.

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Study Programme Theoretical Computer Science and Artificial Intelligence

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The program prepares experts for research and development in the areas of Theoretical Computer Science and Artificial Intelligence. Education is implemented by doing independent research under the supervision of senior experts. In addition to obtaining foundations in Computer Science, the students acquire deep knowledge in a chosen specialization area such as: algorithms and data structures and their analysis, knowledge representation and reasoning, cognitive sciences and their applications, machine learning, multi-agent systems, problem modeling (e.g., in automated planning or decision making) and problem solving using logical, probabilistic, and nature-inspired methods. Students learn how to formulate research goals, prepare a project proposal to achieve the set goals, and present the results in the international environment. Further, they gain experience teaching and mentoring students including thesis supervision.

Prospects for graduates: A graduate has knowledge in all important areas of theoretical computer science and artificial intelligence such as design and analysis of algorithms and data structures, processing big data and solving complex problems requiring integration of more approaches. He/she can use it competently in both individual and team work, apply it in practice and communicate it to other members of the team. He/she has the knowledge and skills for a systematic gathering, critical processing, and application of ideas and information which are necessary for solving new complex problems (both theoretical and applied). He/she is capable to keep up with the development of his/her field. A graduate finds jobs in R&D institutions and on universities worldwide, and in IT companies in research, development, expert and manager positions.

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Study Programme Theoretical Physics, Astronomy and Astrophysics

Form of study: full-time, combined, combined

For admission requirements see Admission procedure.

Outline of study: The programme offers a training in theoretical physics, astronomy and astrophysics. The graduate acquires a wide range of theoretical knowledge and practical experience in solving difficult physical problems. A graduate of astronomy gains also experimental skills, all graduates manage a variety of numerical and computer methods. In addition to mathematical methods, graduates also get a physical intuition that is extremely important in scientific research and for the solution of unexpected technical obstacles and problems.

Prospects for graduates: The graduates in this programme possess extensive knowledge of mathematics and theoretical physics or of astronomy and astrophysics, respectively, which is deepest in particular in areas related to their Ph.D. thesis. They gained a precious experience with an original, creative research. The spectrum of their specializations is very broad. The graduates find research jobs at universities, institutes of the Czech Academy of Sciences, and other scientific institutions both in the Czech Republic and abroad. The universality of their education and their mastery of computer techniques endow them with a considerable flexibility when solving particular problems so they realize themselves also in ‘practically’ oriented jobs requiring logical thinking and analysis of complex tasks.

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