The Czech Technical University in Prague (CTU) was founded in 1707 and is one of the oldest technical universities in Europe and currently the major technical university in the Czech Republic. The Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC CTU) was founded in 2013, as an independent institute of the CTU. The CIIRC CTU research focuses on four basic pillars: industry, energy, smart cities, and health, both in basic and applied research. The transferring technology from academia to practice is an important commitment for CIIRC CTU. It aims to concentrate to excellent research in the fields of robotics, intelligent, distributed and complex systems, automatic control, computer-aided manufacturing, bioinformatics, biomedicine and assistive technologies. CIIRC is a holder of the European HR Excellence in Research Award.
Key Research Facilities, Infrastructure and Equipment
- Testbed for Industry 4.0: new research and experimental workplace for testing innovative solutions and processes for smart factories. The basis of Testbed is a flexible production line for concurrent production of several product types in a series of variants. It combines different technologies as additive manufacturing, machining, robotic manipulation, intelligent conveyor systems, human-robot cooperation, automated warehousing and others.
- Smart Home Laboratory: serves as a testbed for research and development of new technologies and systems in the area of assistive technologies, rehabilitation, home care, neurodegenerative diseases and biomedical engineering in general.
Contact us to know more about our location and work environment. Please use the main contact for questions related to administrative matters. Please contact the supervisors/group leaders of respective research groups regarding feasibility of your research proposal with regard to the research group activities.
Petra BoháčkováFinancial Administrator
Your future supervisors
Currently I am head of the Cognitive Systems and Neurosciences Department at the Czech Institute of Informatics, Robotics and Cybernetics and associate professor at the Department of Natural Sciences of the Faculty of Biomedical Engineering, CVUT. Till now, 20 PhD students successfully defended their theses. Currently I am supervising 5 PhD students.
My research focus: Knowledge-based systems, application of artificial intelligence (AI) methods to medicine, digital signal processing, machine learning, semantic interoperability, mobile technologies in healthcare, electronic health record. My research group participates in several national and international projects focused on application of AI methods to health and social care, virtual reality applications, motion analysis, ergonomy, and related areas.
The Postdoctoral fellow will join the research team Analysis of human motion and biomedical signal analysis that is focused on application of advanced signal processing and artificial intelligence methods to biomedical data, signals and images and that is working to find solutions to different challenges in the field of clinical medicine, rehabilitation, ergonomy and related areas.
The key research infrastructure and equipment include: The Smart Home Laboratory that serves as a testbed for research and development of new technologies and systems in the area of assistive technologies, rehabilitaton, home care, neurodegenerative diseases and biomedical engineering in general. The collaborative research is based on long-term and intensive links with university hospitals, clinics, medical research institutions and companies. The CIIRC computational cluster that serves CIIRC researches, students, and their collaborators for intensive batch computations. The CIIRC cluster also offers acceleration on graphics cards. We have been extending and improving the CIIRC cluster. The CIIRC cluster is XSEDE Compatible Basic Cluster based on OpenHPC project. The CIIRC cluster runs on CentOS 7 operating system. It uses a workload manager and a job scheduler Slurm. Cluster management and orchestration is done by Warewulf toolkit.
The fellow may also liaise with international collaborators, e.g. TU Dresden, Lulea University of Technology, through international secondments or have the opportunity to carry out secondments in the non-academic sector, in cooperation with our industrial partners, e.g. Beznoska, prg.ai. Given the main focus of our research group, the expected outputs of the fellowship are high-level scientific publications and/or applied research outputs such as patent applications, market validations, new collaboration with industry, collaborative research projects.
Potential areas of knowledge of the applicants that can be a good fit for our research group: PhD in Computer Science, Artificial Intelligence, Biomedical Informatics, Biomedical Engineering or in a related field. The applicant will have a solid publication track record in peer reviewed journals. Additional knowledge or experience the applicant would be good to have: programming languages, signal and/or image processing, statistical methods applied to biomedicine. We are looking for an individual who is enthusiastic, creative, highly motivated, willing to work both independently and as a part of a team, and having good written and oral communication skills in English.