Vacant Doctoral Supervisor Positions
Through consultations with members of the academic community, individuals who meet the habilitation criteria specific to the CNATDCU committee for the field (Committee 15) and who wish to initiate the habilitation process are identified.
Through the proposed strategy, we aim to attract new doctoral supervisors in the fields of Computers and Information Technology and Systems Engineering.
Organization of Vacant Positions
The SD-AC staffing plan contains vacant positions. According to the legislation in force, the staffing plan is prepared by the Director of the Doctoral School before the beginning of the academic year, in order to be approved by the University Senate and become effective at the start of the academic year. The staffing plan cannot be modified during the academic year.
The staffing plan may include vacant doctoral student positions, for which a supervisor will propose a doctoral research topic, as well as vacant doctoral supervisor positions for which at least two research topics will be proposed by the CSD, through consultation with the academic community and in accordance with the scientific research strategy of the Faculty of Automatic Control and Computers. Vacant positions are public.
2025–2026
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CTI
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Computers and Information Technology |
Advanced techniques for photorealistic real-time rendering of complex 3D scenes using ray tracing and hybrid methods
Advanced techniques for accelerating real-time rendering of complex 3D scenes: hardware and software optimizations
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CTI
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Computers and Information Technology |
Modern techniques for image recognition and interpretation using deep neural networks
Advanced methods for automatic text analysis and generation using large language models
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CTI
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Computers and Information Technology |
Specialization of software components for security, performance, and efficiency
Automation in software environments using application-oriented criteria.
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CTI
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Computers and Information Technology |
Advanced artificial intelligence methods and techniques in large-scale systems
Security methods and cyberattack detection in critical infrastructures
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CTI
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Computers and Information Technology |
Resource management in large-scale systems with energy consumption constraints
Application modeling using container-based systems and techniques for increasing scalability
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IS
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Systems Engineering |
Efficient Deployment of AI Algorithms on Resource-Constrained Embedded Platforms
Beyond the Cloud: Federated Learning and Collaborative AI for Intelligent IoT
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IS
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Systems Engineering |
Integration of services into manufacturing applications within Industry 4.0
Computer vision solutions in robotics
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IS
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Systems Engineering |
Modeling of complex control systems based on modern techniques
Artificial intelligence techniques and advanced analysis methods in complex production systems
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IS
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Systems Engineering |
Design of evolutionary algorithms for intelligent management of systems with many components
Multi-criteria optimization solutions in large-scale systems
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IS
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Systems Engineering |
Software architecture analysis methods for large scale systems.
Adoption and use of e-government services in the digitization era.
2024–2025
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CTI
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Computers and Information Technology |
Internet of Things (IoT) solutions and applications in healthcare and quality of life
Sustainable resource management and environmental monitoring
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IS
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Systems Engineering |
Time-domain moment matching-based model reduction for linear and nonlinear systems
Families of moment matching based, low order approximations for linear systems
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IS
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Systems Engineering |
Artificial Intelligence and Decentralized Technologies to Advance Data and Knowledge management
Automated Competency Assessment Tool based on Semantic Skills Identification
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IS
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Systems Engineering |
Optimal, robust and predictive approaches for control applications in aerospace systems
Model matching vs. model following in fault tolerant control
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IS
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Systems Engineering |
Intelligent Robotic Manufacturing Systems for the Industry of the Future
Integrating robot systems with cloud systems
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IS
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Systems Engineering |
Methodologies for implementing decentralized control systems in the context of Industry 4.0
The concept of digital twin in manufacturing control
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IS
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Systems Engineering |
Building Intelligent Systems through Data Intensive Optimization
Data modelling based on computational intelligence techniques
