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Czech Technical University in Prague

Ranked
6 Dejvice, Czechia
1201–1500th in World University Rankings 2026
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About Czech Technical University in Prague

Basic information and contact details for Czech Technical University in Prague

Technical universities are thought of as a modern development in higher education. However, the Czech Technical University in Prague (CTU), one of the oldest techs in the world, opened in 1707.

The university was founded by Emperor Josef I. One of the most important subjects taught in its early days was fortification arts, as the Emperor wanted to improve Czech defences against invaders. Other topics relevant to civilian life were also covered, including surveying, mapping, drainage and constructing mechanisms for lifting heavy loads.

Today the university has dropped fortifications from its curriculum and instead has eight faculties: Civil Engineering, Mechanical Engineering, Electrical Engineering, Nuclear Science and Physical Engineering, Architecture, Transportation Sciences, Biomedical Engineering and Information Technology. Over 120 programmes of study are on offer, some with the option to study in English.

Each faculty sets its own admission requirements and some may require applicants to sit an examination.

The university has its own orchestra, the CTU Academic Orchestra, based in the Bethlehem Chapel. The orchestra’s creation was inspired by a visit from the Cambridge University Orchestra; several years later, CTU’s Orchestra was able to perform at Cambridge.

CTU’s home, Prague, is one of the most beautiful capitals in Europe, on par with Paris or Rome. Its Old Town is a maze of cobbled streets, contrasting with the modern eccentricity of its art galleries. The biggest ancient castle in the world rises above the city. Sightseers can enjoy watching the changing of the guards or, for a small fee, look inside at the magnificent old halls.

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Key Student Statistics

A breakdown of student statistics at Czech Technical University in Prague

gender ratio
Student gender ratio
31 F : 69 M (1)
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International student percentage
21% (1)
student per staff
Students per staff
8.2 (1)
student
Student total
15476 (1)

Based on data collected for the (1) World University Rankings 2026

Jobs you might be interested in

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CBS - Postdoctoral Position, Artificial Intelligence Applied to Multi-Omics Data Integration

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Position Overview: We are seeking an outstanding Postdoctoral Researcher in Artificial Intelligence (AI) and Data Science with expertise in multi-omics data integration for health and precision medicine. The successful candidate will join a multidisciplinary team developing AI-driven approaches to integrate and analyze genomics, transcriptomics, proteomics, metabolomics, and microbiome datasets to uncover biomarkers, therapeutic targets, and mechanistic insights into complex diseases. The project addresses critical challenges in personalized medicine, disease stratification, and multi-modal data fusion, enabling next-generation solutions in precision health and biomedical research. Scientific Challenges Addressed in the Position: Heterogeneity and high dimensionality of multi-omics data requiring advanced AI/ML methods for robust analysis and integration. Data sparsity, batch effects, and missing values across different omics layers and platforms. Cross-omics data fusion and representation learning for comprehensive systems biology modeling. Identification of causal relationships and biomarker discovery through integrative approaches. Time-series and longitudinal multi-omics data analysis for disease progression modeling. Explainability and interpretability of AI models to support clinical decision-making and regulatory compliance in healthcare settings. Scalability and computational efficiency in processing and integrating massive multi-omics datasets from clinical cohorts. Key Responsibilities: Design and implement AI/ML pipelines for multi-omics data integration, including supervised and unsupervised learning methods. Develop deep learning architectures (e.g., variational autoencoders, graph neural networks, transformers) for cross-omics data representation and feature extraction. Apply multi-view learning, transfer learning, and data fusion techniques to integrate heterogeneous omics datasets and clinical metadata. Conduct network-based analysis (gene regulatory networks, protein-protein interaction networks, metabolic networks) to identify key disease drivers and biomarkers. Build predictive models for disease classification, patient stratification, and treatment response prediction. Collaborate with biologists, clinicians, and bioinformaticians for data interpretation and validation of computational findings in clinical or experimental settings. Disseminate research outcomes through publications in high-impact journals, conference presentations, and workshops. Mentor and support the training of graduate students and early-career researchers in AI and multi-omics integration. Required Qualifications: Ph.D. in Bioinformatics, Computational Biology, Data Science, Artificial Intelligence, or a related field. Proven experience in multi-omics data integration, omics data analysis (genomics, transcriptomics, proteomics, metabolomics, microbiome). Strong expertise in machine learning, deep learning, and advanced AI frameworks (TensorFlow, PyTorch, Scikit-learn). Experience with bioinformatics tools and databases (e.g., Bioconductor, Galaxy, KEGG, Reactome, STRING). Proficiency in Python, R, and Unix/Linux-based environments for high-performance data analysis. Knowledge of biological network inference, causal modeling, and graph-based AI approaches. Experience in multi-modal data fusion, representation learning, and heterogeneous data integration. Strong publication record in relevant peer-reviewed journals. Excellent communication skills and ability to work in a multidisciplinary environment. Familiarity with cloud-based computing platforms (AWS, Azure, Google Cloud) and high-performance computing (HPC) environments. Understanding of data privacy, security, and ethical considerations in handling clinical data. Application Process: Interested candidates should submit the following documents in a single PDF: A cover letter outlining their research interests, motivation, and relevant experience. A detailed Curriculum Vitae (CV) with a list of publications. Contact details of two academic referees.

Salary

Competitive

Posted

18 May 2026

CUS - Postdoctoral Researcher in Spatial Data Science

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Position Description: We are seeking a postdoctoral researcher specializing in urban modeling and cost analysis to develop an innovative model to estimate the direct and indirect costs of urbanization based on urban morphology (compact or sprawling). The candidate will analyze real case studies, integrate variables related to infrastructure, health, and the environment, and simulate scenarios under different climatic and social contexts to provide decision-making tools for sustainable urban planning. Main Tasks and Responsibilities: Develop a predictive model integrating the direct and indirect costs of urbanization. Calibrate this model using real data from specific case studies. Simulate urbanization costs based on various climatic, morphological, and social scenarios. Formulate innovative methodological approaches. Produce publications on research in scientific journals. Participate in teaching activities. Develop new research proposals. Required Qualifications: Ph.D. in Data Science, Urban Planning, Urban Economics, or a related field. Experience in research projects applied to urban, environmental, or socio-economic issues. Proficiency in urban modeling tools such as MATLAB, Python (especially libraries like Pandas, NumPy, SciPy, GeoPandas, etc.), and R. Advanced skills in predictive modeling and machine learning, particularly for multi-variable simulations. Knowledge of complex systems modeling applied to urban dynamics. Publications in scientific journals. Personal and Organizational Qualifications: Ability to develop innovative methods. Ambition for research excellence. Interest in African issues. Entrepreneurial mindset, dynamism, and organizational skills. Fluency in both French and English (oral and written) is required. We Offer: Excellent working conditions and competitive salary on an international scale. An opportunity to contribute to the development of research excellence in Africa. A highly stimulating multicultural working environment and a great team atmosphere.

Salary

Competitive

Posted

18 May 2026

ASARI - Postdoctoral Researcher in Biodiesel Production from Biomass

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Job description: African Sustainable Agriculture Research Institute (ASARI) at Mohammed VI Polytechnic University (UM6P) is seeking applications for a Postdoctoral researcher in the field of Postdoctoral Researcher in Biodiesel Production from Biomass. Ability to engage professionally with a diverse population of faculty, staff, and students across the university and externally is required. Evidence of research excellence is expected. Strong French and English communication skills, both verbal and written, are required. Key duties: Successful candidate is expected to: Develop and optimize lipid extraction protocols Conduct lipid conversion into biodiesel Analyze lipid profiles and biodiesel quality Conduct mass balance, lipid yield, and biodiesel productivity assessments Publish scientific results in peer-reviewed journals in a timely manner Present research results at national scientific meetings Conduct original research within an international framework Have a creative, open, and resilient mind Criteria of the candidate: PhD degree in Biotechnology, Chemical Engineering, Bioenergy, Environmental Engineering, or related discipline from a recognized University. Strong expertise in lipid extraction and biodiesel production Good written and spoken English as well as presentation skills Excellent interpersonal, and organizational skills with an ability to work efficiently both independently and in a team About UM6P: Located at the heart of the future Green City of Benguerir, Mohammed VI Polytechnic University (UM6P), a higher education institution with an international standard, is established to serve Morocco and the African continent. Its vision is honed around research and innovation at the service of education and development. This unique nascent university, with its state-of-the-art campus and infrastructure, has woven a sound academic and research network, and its recruitment process is seeking high quality academics and professionals in order to boost its quality-oriented research environment. UM6P is a very ambitious university, enjoying ample research funding, moderate teaching load, and excellent facilities. In its research approach, the UM6P promotes transdisciplinary, entrepreneurship spirit and collaboration with external institutions, both international ones for developing up to date science, and at continent level to address real African challenges. UM6P offers highly competitive salaries at the international level. Our researchers get incentives through a participation to the intellectual property they develop. About ASARI (UM6P Laâyoune): The African Sustainable Agriculture Research Institute (ASARI) is a component of the Mohammed VI Polytechnic University (UM6P) in Laayoune City, south of Morocco. It constitutes a structure of applied research with a vision of solving real Local, Regional, and African agriculture challenges leveraging up-to-date science and technology. To implement its vision, ASARI puts a lot of emphasis on interdisciplinary research in sectors of strategic interest for the southern regions of Morocco and for the African continent such as: Plant & animal biotechnology (biosaline agriculture, animal production & nutrition, valorization of native aromatic & medicinal plants and algae, etc.) Sustainable technologies in water, environment, and energy sectors. Application process: Applications should contain the following documents: Curriculum Vitae A letter (maximum 1 page) explaining the motivation for the position Contact information of 3 references (Applicants are assumed to have obtained their references’ consent to be contacted for this matter) Applications are to be submitted on the recruitment platform stating in object “Postdoctoral Researcher in Biodiesel Production from Biomass”.

Salary

Competitive

Posted

18 May 2026

ASARI - Postdoc in Botany and Plant Ecology

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


About ASARI The African Sustainable Agriculture Research Institute (ASARI) launched by UM6P in Laayoune in 2020 within the Foum Eloued technopole project focuses on several research and development programs including biosaline agriculture, native species valorisation, camel value chain, water and renewable energy. The institute consists of a multidisciplinary team of agronomists, biochemists, molecular biologists, bioprocess specialists, animal scientist, etc to respond to regional challenges affecting marginal environments. Job Summary The postdoc will conduct research, prepare proposals, write reports and scientific papers to study the botany and ecology of native desert plant species of south of Morocco as well as their interaction of their ecosystems including the soil. The successful candidate will conduct field expeditions to collect plant and soil samples, characterize vegetation and their habitats as well as identifying plant species. Job Responsibilities Responsibilities will include but not limited to: Develop clear and strong methodology according to high standards in the field of plant ecology and botany. Conduct botanical expeditions to characterize native plant species of south of Morocco. Collect plant and soil samples and study interactives synergies between native species and their ecosystems. Identify plant species using botanical identification keys and AI tools. Elaborate plant and soil databases Conduct ethnobotanical field surveys Elaborate atlas botanical book including design and content Data scheduling, collection, analysis, interpretation, and presentation. Supervise PhD and Master students as well as interns Project management including budget, materials, equipment, and staff Additional responsibilities will include: Research proposal writing for external funding Report writing for research project Manuscript writing and publication in referee journal. The candidate will also be expected to help maintain all field and laboratory equipment, order supplies as needed, and help maintain research plot records and. Responsibilities also involve frequent travelling in desert environments at national and international level Qualifications and Experience Essential Ph.D. in plant ecology, botany, plant science, or a closely related field Field based botanical research experience is essential. Expertise in of one of the following areas (please indicate in covering letter): Botany Plant ecology Taxonomy ethnobotany Good publications record in refereed journals Fluency in written and spoken English. French and Arabic will be a plus Experience in working as a member of a multi-disciplinary team Ability to initiate, conduct, and publish research in a scientific manner and to obtain external grant funding Well-developed oral and written communication skills Desirable: Working knowledge of statistics and database management Additional language skills, Arabic and French are desirable Supervisory experience

Salary

Competitive

Posted

18 May 2026

GSMI - Post-Doctoral Researcher in AI, Autonomy and Digital Platforms for Drones

MOHAMMED VI POLYTECHNIC UNIVERSITY

Mohammed VI Polytechnic University

Morocco

institution

Mohammed VI Polytechnic University

Morocco


Abstract: This position focuses on the development of intelligent and autonomous drone systems, integrating AI, edge computing, and digital twin technologies for mission autonomy and predictive analytics. The research assistant will develop real-time flight control algorithms, AI- based data processing, and mission management platforms, contributing to the deployment of smart UAV demonstrators under industrial conditions. Keywords: Artificial intelligence, autonomy, digital twin, edge computing, UAV systems. Objectives: Support the development of AI and machine learning algorithms for autonomous navigation. Assist in building digital twin models to monitor drone health and mission performance. Contribute to IoT integration and real-time data acquisition systems. Participate in testing and deployment of UAV demonstrators at UM6P and OCP sites. Methodology: AI Development: Reinforcement learning, computer vision, and sensor fusion for autonomy. Digital Twin & Edge Computing: Implement real-time synchronization and analytics. IoT Integration: Design and manage data acquisition from sensors and UAVs via embedded systems. Validation: Participate in field trials for performance and reliability testing. Expected Outcomes: Contribution to AI-enabled UAV demonstrator (TRL 6). Support in the deployment of a digital mission platform. Participation in academic or industrial publications and reports. Profile of the Research Assistant Candidate & Application Materials: Engineering degree or equivalent in Computer Science, Robotics, or Electrical Engineering. Solid knowledge of AI/ML, embedded systems, and IoT architecture. Programming skills in Python, ROS, TensorFlow, or MATLAB. Strong interest in applied AI and autonomous systems development. Application materials: CV, cover letter, and one recommendation letter.

Salary

Competitive

Posted

18 May 2026

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Subjects Taught at Czech Technical University in Prague

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Arts and Humanities

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