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Department of Mathematics
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Technická 5
166 28 Prague 6 – Dejvice
IČO: 60461373 / VAT: CZ60461373
Czech Post certified digital mail code: sp4j9ch
Copyright: UCT Prague
Information provided by the Department of International Relations and the Department of R&D. Technical support by the Computing Centre.
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[cookie-policy-title] => Cookies settings
[cookie-policy-info] => We value your privacy
This website store cookies which are necessary for the proper function of this website (strictly necessary) in your browser. With your consent, the website will also use and store in your browser other cookies for the purpose of anonymous analysis of website traffic (analytical) and for the personalization of advertising (marketing). You can withdraw or modify your consent at any time by opening the "Cookies settings" menu at the bottom of the website. You provide your consent to UCT Prague for the domain vscht.cz including 3rd level domains. Further information can be found on the Privacy Policy and Cookie Policy pages.
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Onboarding procedures are common in the private sector but often absent in academic institutions. In particular for newly hired Early Career Researchers (ECR), namely PhD candidates, such procedures will strongly impact both their integration into the organisation and clarification of roles and responsibilities of all stakeholders involved in their programme. In order to maximize their impact, it is therefore important that onboarding procedures are approved and supported by supervisors and Postgraduate offices. While it has been shown that successful onboarding contributes to increased well-being and motivation, many ECRs often feel somewhat lost and poorly supported when entering academia, leading to doubt, insecurity and sometimes even an early abandonment of their research project.
UCT and onboarding
In collaboration with the PRIDE network (Professionals in Doctoral Education), a working group was formed with the aim of drafting a publication on onboarding, focusing for the first time on doctoral candidates and postdocs and their adaptation process at the university.
UCT Prague initially launched an extensive questionnaire to assess awareness of onboarding, whether and how many people have encountered it, and what they would welcome within the academic environment. After evaluating the questionnaire, meetings were held in the private sector with HR professionals. We wanted to verify how onboarding is conducted in private companies and how we can leverage their know-how and experiences in our context.
The collected materials and interviews with HR professionals were used to create an adaptation plan, which was piloted from September 2023 at three institutes of UCT Prague. The resulting adaptation plan, which is part of this page, will serve the needs of UCT Prague supervisors who work with newly hired doctoral candidates. Furthermore, the adaptation plan will be utilized for the PRIDE network publication, serving as a foundation for other European universities.
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[obsah] => What is a “Double-Degree” programme?
It is doctoral study programme that is leading to two diplomas from both home university as well as partner university. Student works on one dissertation, the study programmes are fully integrated between collaborating universities and include specialized courses at home university and one interdisciplinary at partner university.
Each successful applicant signs individual contract about doctoral double degree based on his/her particular situation (research area, supervisor’s requirements, home university requirements etc.). The contract is signed between UCT Prague and student’s home university.
Requirements for doctoral double degree contract:
- Student has to agree with two supervisors – one from the home university, one from UCT Prague
- Student has to be accepted by his/her supervisor to PhD studies at UCT Prague
- Student has to be accepted to PhD studies at his/her home university
- UCT Prague and student’s home university have to have a joint double degree study programme (list of offered programmes below)
Contact persons at UCT Prague
First contact (study matter) - Contact person of each double degree study programme.
Second contact (general matter, information about the application proceedings)– Department of International Relations: international@vscht.cz
Finances
In terms of cooperation with partner universities no tuition is required. Students are expected to cover any additional costs themselves.
What are the advantages?
Besides improved employability of graduates, there is emphasis on research activity coupled with a possibility to lead small research groups. The program inherently strengthens professional language knowledge. There are possibilities to gain practical skills thanks to cooperation with partner companies such as Zentiva, Zeva, Contipro, Lonza Biotec or in practically oriented departments of Czech Academy of Sciences, where are practical traineeships available. Last but not least there is excellent support of students, including motivational scholarships.
Double degree programmes offered
There are 8 programmes at 4 faculties
FCT – Faculty of Chemical Technology
FET – Faculty of Environmental Technology
FBT – Faculty of Food and Biochemical Technology
FCE – Faculty of Chemical Engineering
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|
Measurement and Signal Processing in Chemistry
Doctoral Programme,
Faculty of Chemical Engineering
The study programme is focused on modern sensor technology, chemical sensors, modeling, simulation, identification and classification (bio) chemical processes, data collection and processing from chemical, biochemical and biological samples. The theoretical basis of the programme is the principles of the function sensors of physical and chemical quantities, methods of digital signal processing and selected chapters from applied mathematics. The aim of the study of this programme is to educate a doctoral student for independent scientific work in the areas of (i) modern chemical sensors, (ii) modeling, simulation and analysis of complex chemical processes and (iii) modern methods of data processing primarily from chemical, biochemical and biological samples. The aim is to equip students with advanced theoretical knowledge and practical skills and to educate independent scientific personalities from them, able to further develop the areas of theoretical and applied research. CareersThe graduate is multidisciplinary and has in-depth knowledge of various branches of measuring and sensor technology, modeling of chemical processes, signal collection and processing. Has an overview of topics related to: (i) construction and principles of operation of sensors and measuring systems and (ii) mathematical and statistical methods in signal and image processing. He is led to the ability to work independently and in a team, the formulation of a scientific problem, the creation of a concept for its solution and the implementation of research in all phases of this process. The graduate will be ready to design their own research or industrial projects. He will acquire knowledge and skills that will enable him to adapt professionally in specific conditions in the field of basic and applied research, in the academic sphere and in technological practice connected especially with the chemical and food industry. Programme Details
Ph.D. topics for study year 2024/25Hybrid and adaptive software sensors for advanced monitoring of bioprocesses
AnnotationThe quality of process control of biotechnological production processes used in the pharmacy and food industry is often constrained by the limited possibilities of on-line measurement of key process parameters (e.g. cell concentration, growth rate, production rate, etc.). One possible solution is the use of software sensors to continually estimate the values of key process indicators from on-line measurable process variables. The proposed PhD thesis is focused on the development of hybrid software sensors and data-driven software sensors with dynamically switched structure, that will be able to evaluate the quality of their estimation during the estimation process and continuously adjust the composition of their data inputs, i.e. use a different on-line measured variable or set of variables for each individual phase of the process.
Contact supervisor
Study place:
Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
Modern machine learning methods in biomedical data analysis
AnnotationThe aim of the dissertation is the design and implementation of a complex system for the analysis of biomedical data. Data for analysis will be provided/measured at the University Hospital of Královské Vinohrady Prague and the Hospital of the Pardubice Region. The system will (i) serve as an auxiliary tool for the specialist (MD) in the objective assessment of the patient's current condition, (ii) enable the analysis of one- and multi-dimensional data (mainly ECG, heart rate, movement data, possibly CT and NMR). The methodology used for the analysis will be based on classical statistical methods (OLR, RF, etc.) and will also use deep learning methods.
Contact supervisor
Study place:
Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
Protective shields for autonomous systems against electromagnetic interference
AnnotationThe rapid advent of autonomous systems such as robotic assistants, drones or self-driving vehicles has inevitably brought with it an increase in the use of positioning devices, such as microwave sensors, or advanced lidar, radar or radio technology. This also increases the likelihood of the occurrence of undesired interferences of this electromagnetic wave with the integrated circuits of the autonomous device, which may in turn lead to an increased probability of the occurrence of dangerous phenomena, including accidents and loss of life. The aim of this work is therefore to develop new materials for the attenuation of electromagnetic interference and to apply them as protective shields in the operating area of the electromagnetic spectrum of existing positioning systems. The work will focus on the search, synthesis and characterization of suitable electrical and magnetic materials and their nanostructured analogues and the subsequent design, manufacture and testing of new lightweight and flexible shields. Part of the work will also be modelling and evaluation of the shielding efficiency of protective shields in simulated and real conditions of operation of autonomous systems.
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Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
Optimization of Statistical and Machine Learning Models for Multidimensional Data Processing in Chemistry
AnnotationThis work concentrates on the processing, reconstruction, and analysis of multidimensional signals, particularly those with significant interfering components. The analysis of mixed chemical samples, utilizing techniques such as mass spectrometry and capillary electrophoresis, generates a vast amount of data, often affected by numerous undesirable physical factors. The objective is to focus on identifying and optimizing suitable statistical and machine learning models. This includes comparing various models and refining them to emphasize the filtering of unwanted components, reconstruction of optimal signals, and direct extraction of significant values. The project involves collaboration with the Department of Biochemistry and Microbiology, leveraging their extensive experience in protein analysis through mass spectrometry.
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Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
Elaboration of environmentally benign composites for shielding of electromagnetic interference
AnnotationThe project deals with design of environmentally benign composites in form of flexible free-standing films for electromagnetic interference (EMI) shielding application. The composites will be prepared from bio-sourced cellulose fillers and efficient receptors of EMI (e.g. supramolecular conducting polymers, carbon nanotubes, graphene, etc.) Novel approaches of matrix/receptor compatibilization will be designed. In addition, fundamental aspects governing the behavior of the composites will be studied to understand the interactions occurring between the phases of the composites and the structure-properties relationships. Thorough experiments in the DC and AC electrical field on the composites and their components will be performed to reveal patterns driving the resulting shielding efficiency. Finally, the synergetic effect of both receptors leading to the controllable EMI shielding efficiency by absorption or reflection will be studied.
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Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
Sensor arrays of tactile temperature and pressure sensors
AnnotationTactile temperature or pressure sensors are devices used in robotics to evaluate the robot's interaction with other objects. These include, for example, manipulating an object, measuring the slip of a gripped object, determining the coordinates of the position of the object or measuring the magnitude of the force acting on the object. The extreme case is complex tactile systems, the purpose of which is to simulate and replace human touch. The sensors used for these purposes must be sufficiently miniature, sensitive to small changes in pressure, must have favorable dynamic properties and time and operational stability of the parameters. Due to the expected high density of tactile sensors connected in simple applications, there must be the possibility of their operation in the form of sensor arrays and data processing using advanced mathematical and statistical algorithms. Last but not least, the cost of producing them must be reasonable so that they can be easily replaced in the event of wear. The aim of this work is therefore to develop new types of tactile temperature and pressure sensors based on modern nanomaterials, which can be used in experiments with the measurement of temporally and spatially distributed forces acting on the matrix of sensors. Part of the work will be the preparation, characterization and processing of thermoelectric and piezoresistive materials based on organic nanostructured semiconductors and carbon nanostructures. Testing of these substances will include, inter alia, structural, chemical and mechanical analysis and measurement of electrical properties in both direct and alternating electric fields. Selected materials will then be processed into sensitive sensors. Part of this work will also be the design of sensor arrays and their testing and signal processing using advanced algorithms.
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Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
Application of machine learning methods for interdisciplinary analysis of geographic data
AnnotationIn the past decade, there has been a dynamic development of airborne laser scanning of the altimeter of the territory of most European countries, including the Czech Republic. Digital terrain models, which are one of the results of this laser scanning, provide an extremely large amount of detailed information about the nature of the earth's surface within the given territory. Manual analysis of these data sets is very laborious and lengthy and, in the case of examining larger areas, relatively inefficient, especially from the point of view of human labor costs. In this context, machine learning methods offer a promising alternative for solving this very topical problem. This work is specifically focused on the analytical processing of digital terrain models using machine learning methods for the purpose of identifying and classifying the relics of terrain objects created by human activity (use e.g. in archaeology, nature conservation, etc.).
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Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
Development of modern electromagnetic radiation shields as passive protection of information against eavesdropping
AnnotationThe proliferation of modern electronics, integrated circuits, microprocessors and communication and computer technology in general brings with it a high risk of disclosing critical information about the infrastructure in which these elements are used. In the extreme case, there may be a leak or takeover of administrative privileges, which can be misused for digital vandalism, disclosure of important information or attacks on the infrastructure itself. One of the very effective and difficult to detect methods of these attacks is the remote eavesdropping on information that is emanated from electronic devices in the form of electric or magnetic fields. With the development of inexpensive radio technology and as a result of readily available libraries and signal processing algorithms, such an attack may no longer be the sole domain of rich, state-sponsored organizations, but may gradually be adopted by the mainstream hacking community and misused for criminal purposes. The aim of this work is to explore the possibilities and develop and test light and flexible protective shields based on modern nanomaterials, which will serve as an effective passive protection of electronic devices against remote eavesdropping. For this purpose, new composite materials based on electrically conductive nanoparticles with magnetic properties will be prepared. The possibilities of their compatibility with the carrier, chemical structure and morphology, mechanical, electrical and magnetic properties and methods and the possibilities of their processing into the required shape and form suitable for use in miniature electronics will be studied. The experiments will also include testing passive shields in simulated and real conditions and evaluating their ability to dampen electromagnetic waves emitted by electronic devices.
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Department of Mathematics, Informatics and Cybernetics, FCE, VŠCHT Praha
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