The Universidad Carlos III de Madrid is one of the top universities in Spain, well-known for its excellent research in several fields. Universidad Carlos III de Madrid is based in the Madrid metropolitan area and is dedicated to providing students with outstanding education and research opportunities.
Universidad Carlos III de Madrid-s research is interdisciplinary and covers various topics, such as engineering, economics, law, political science, sociology, and psychology. Universidad Carlos III de Madrid owns robust international ties with universities worldwide, permitting students to cooperate with prestigious institutions.
Universidad Carlos III de Madrid proffers students the opportunity to participate in various research internships and collaborations. The Universidad Carlos III de Madrid aspires to greatness in all its activities to become one of the leading universities in Europe.
Universidad Carlos III de Madrid mainly contributes to the advancement of society by teaching the highest quality and leading-edge research in line.
Address: C. Madrid, 126, 28903 Getafe, Madrid, Spain
Phone: +34 916 24 95 00
Email: prospectivestudents@uc3m.es.
Website: https://www.uc3m.es/
• Bachelor in Computer Science and Engineering
• Master in Computer Science and Technology
• Ph.D. in Computer Science and Technology
Universidad Carlos III de Madrid owns an active research group in the field of computer science focused on topics such
• Knowledge Reuse and Interactive systems
• Architecture of computers; communications and systems
• Computer Security
• Planning and Learning
• Control; Learning and Optimization
• Applied Artificial Intelligence
• Neural Networks and Bio-inspired Computation
• Human Languages and Accessibility Technologies
Knowledge Reuse and Interactive systems;
• Interactive and collaborative systems
• ICT for emergency management and crisis informatics
• Technology applied to education
• Web Information Systems
• Knowledge representation
• Knowledge retrieval
• Knowledge reuse
• Advanced methods for software development
• Technologies to manage teams and products
• Innovation, creativity and technological entrepreneurship
• Processes management for reuse
• New digital technologies to envision, manage and deploy software-based systems
• Software engineering economics
• Applied systems thinking
Architecture of computers, communications and systems;
• High-performance computing
• Parallel and distributed file systems
• Real-time systems
• Sensors networks
• Distributed systems
Computer Security;
• Applied cryptography
• Systems, software and network security
• Privacy
Planning and Learning;
• Automated Planning
• Machine learning
• Artificial Intelligence
• Optimization
• Heuristic search
• Cognitive robotics
• Reinforcement learning
Control, Learning and Optimization;
• Automated Planning
• Artificial Intelligence
• Data analysis
• Optimization
• Predictive control
• Pattern recognition
• Multiagent system
• Data mining
• Cognitive robotics
Applied Artificial Intelligence;
• Machine learning
• Data fusion
• Active vision
• Surveillance systems
• Multiagent system
• Trust management
• Multiobjective optimization
• Ambient Intelligence
• Autonomous navigation systems
• Fuzzy logic in control systems
• Machine learning for spatio-temporal data
• Smart cities
Neural Networks and Bio-inspired Computation;
• Machine learning
• Bio-Inspired Computation
• Artificial neural networks
• Hybrid evolutionary learning systems
• Data mining
• Metaheuristics
Human Languages and Accessibility Technologies;
• Soft computing in corporate information systems, business processes integration
• Natural language processing
• Information and communications technology and accessibility
• Speech processing and speaker recognition
• Deep learning methods applied to natural language processing
• Natural language processing and accessibility
• Computer, Communications and Systems Architecture
• COSEC (COmputer SECurity Lab)
• Evolutionary Computation and Neural Networks (EVANNAI)
• GigaBD Group
• Applied Artificial Intelligence Group (GIAA)
• Human Language and Accessibility Technologies (HULAT) Group
• Knowledge Reusing Group
• Systems Control, Learning and Optimisation Laboratory (CAOS)
• Planning and Learning Group
• Interactive Systems (DEI)
• SoftLab
• Communications Group
• Radiofrequency, Electromagnetics, Microwaves and Antennas Group (GREMA)
• Multimedia Processing Group
• Group of Radio Technologies and Applications
• Signal Processing and Learning Group (GTSA)
• Machine Learning for Data Science (ML4DS)
• Marie Sklodowska-Curie Actions (MSCA)
• Programa de Formación de Profesorado Universitario (FPU)
• Programa de Ayudas para la Formación de Doctores (Beca UC3M-Banco Santander)
• Beca de Movilidad para Estudiantes Universitarios (BMEU)
• Beca de Movilidad para Estudiantes de Máster en Informática (BEMI)
• Beca de Estudios de Máster en Ingeniería de Software (BEMS)
• Programa de Becas para Estudiantes Extranjeros en España (PEEX)
• Beca de Estudios de Máster en Inteligencia Artificial (BEMIA)
Funded projects related to computer science research at Universidad Carlos III de Madrid - Spain
• Anomaly Detection in Mobile Networks
• Big Data Analytics for Smart Cities
• Cognitive Dynamic Social Networks
• Computer Vision Techniques for Image Analysis
• Context-aware Systems for Smart Mobility
To be considered for admission to the Ph.D. Program at the Universidad Carlos III de Madrid,
• Applicants must earn a Master-s degree in a field related to computer science
• Applicants must also have a good command of the English language
• Applicants must l submit the following documents:
• An academic transcript of records
• Curriculum Vitae
• A letter of motivation
• Two letters of recommendation
• Proof of English language proficiency
