23 Technology PhD Degree Programs

PhD in Digital Social Science is focused on social phenomena that are largely manifested in the online environment. Their study requires an interdisciplinary structure of competencies and appropriate data-analytical methodological training. It is a unique interdisciplinary and inter-institutional doctoral program that offers a modern and effective way of addressing the complex problems of contemporary society.

Study program Pharmaceutical Technology fully employs recent scientific knowledge in the development and manufacturing of dosage forms is based on the actual theoretical and application knowledge in the formulation of dosage forms and drug delivery systems and allows to acquire the study program aims and the required profile of the study program graduate.

The PhD program in "Mathematics, Computer Science, Statistics", based in Firenze, is managed by a Consortium among the University of Firenze, the University of Perugia and the Istituto Nazionale di Alta Matematica "F. Severi"-Rome (INdAM). This PhD program inherited the tradition of the pre-existing three separate PhD's in Mathematics, Computer Science, Statistics, and can rely upon the very many, and well established, scientific connections of the involved institutions with Universities and Research Centers in many Countries of the World. The relevant number of offered scholarships allows the achievement of a critical mass of PhD students and activities, which are fundamental for a doctorate with an interdisciplinary character.

With a practical and strategic approach, our PhD program will provide you with the essential tools to implement solutions based on artificial intelligence. This will allow you to generate a significant impact both in your organization and in the global industry. With a practical and strategic approach, our PhD program will provide you with the essential tools to implement solutions based on artificial intelligence. This will allow you to generate a significant impact both in your organization and in the global industry.

The aim of the Study Program is to provide a comprehensive view of substances of natural origin as sources of pharmaceuticals (from used and potential curative sources) in human therapy and nutraceuticals - substances derived from food sources or new sources of raw materials used in nutrition. The dominant area is the information on obtaining active substances (isolation, biotechnology, semi-synthetic pathway), methods of isolation from biological material, including solution of structure, mechanisms of biological activity in vitro, screening methodology for individual types of biological effects, and development of analytical methods for monitoring substances in the natural matrix from the therapeutic, tissue-protection and, to a certain extent, even toxicological point of view. The aim of these studies is to find out the possibilities of their use as phytopharmaceuticals, food supplements, and novel foods for the normalization of human physiological processes for the strengthening of health and prevention of chronic diseases together with the use of nutrigenomic phenomena that can be used in the administration of products in terms of interaction with food and pharmaceuticals (from the point of view of clinical pharmacy) and to influence the course of diseases.

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. The program does not contain specializations.

Biomedical informatics is a rapidly developing field whose content matter is, above all, the use of computers and information technologies (IT), system approach, statistics and epidemiology, and mathematical methodologies in medicine. Biomedical informatics is experiencing permanent development, and at present, it is focused on these major problem areas: the area of support to clinical decision-making, biomedical statistics, robotics, computer modeling, image processing; and the area of medical information systems. In clinical medicine, it means the following areas: clinical computing, analyses of images, issues of biosignal, computer modeling, artificial intelligence (including expert systems), support of decision-making, issues of statistics and biometrics, classification in medicine, computers in operating the devices, robotic and artificial organs. In the areas of information systems, the issues of their implementation in health care settings are tackled as well as specific questions of data protection and ethical problems and creation of hospital information systems. In the areas of theoretical medicine, it is mainly about modeling physiologic functions and issues of bioinformatics. The program is carried out without any specialization.

The Ph.D. course aims to train researchers capable of carrying out high-quality research work related to Information Engineering in academic and non academic research institutions as well as in industrial research development centers. The course consists of four curricula:

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 industry. The progress in the application of optics in numerous research areas (physics, biology, chemistry, medicine, communications, and robotics) leads to an increase in the range of employment possibilities.

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 information systems, or 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. The program does not contain specializations.

It is an interdisciplinary study program that 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.

The study program provides advanced theoretical and practical knowledge in the area of surface science, physics of interfaces and thin film physics, areas supporting contemporary nanotechnology. It includes the study of surface processes and structures at an 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 deep knowledge in the area of surface science and physics of thin films.

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.

The doctoral program primarily aims at graduates from teacher preparation programs in mathematics and computer science, enabling them to deepen their knowledge from master's programs and take part in ongoing research. The program focuses on elementary mathematics and computer science, their history, as well as teaching. In elementary mathematics and computer science, the emphasis is placed on topics that connect and extend both high-school and university curricula. In history, attention is paid especially to the 19th and 20th centuries, Czech mathematics and computer science. History is also closely related to problems of teaching, as the progress of science depends on the transfer of knowledge from teachers to students, which is supported by textbooks.

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.