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PhD Computer Science in Complutense University of Madrid - Spain

Complutense University of Madrid - Spain

About Complutense University of Madrid

  The Complutense University of Madrid is a public research institution founded in Alcalá in 1293 and delivers undergraduate and postgraduate degrees. The Complutense University of Madrid owns a long trajectory and broad social recognition that inspires to be amongst the first universities in Europe.
  The Complutense University of Madrid has been dedicated to integral and critical training at the superior level. The Complutense University of Madrid has high research potential, and many of its research teams have international leadership positions.
  The Complutense University of Madrid develops poles of excellence depending on large networks of high-quality groups, improving emerging groups and integrating young researchers. The Complutense University of Madrid enhances scientific research and disseminates knowledge and values.

Address & Website of Complutense University of Madrid

Address:  Av. Séneca, 2, 28040 Madrid, Spain

Phone:  +34 914 52 04 00

Email:  infocom@ucm.es

Website:  https://www.ucm.es/english

University Type:  Public university

Computer Science Courses Offered by Complutense University of Madrid

  

 •  Bachelor-s Degree in Computer Science
 •  Master-s Degree in Computer Science
 •  Master-s Degree in Artificial Intelligence
 •  Master-s Degree in Data Science
 •  Doctoral Program in Computer Science

Computer Science Research Areas - Complutense University of Madrid

  

Complutense University of Madrid-s computer science research is renowned for its innovative and groundbreaking contributions.
 •  Advanced Machine Learning
 •  Pattern Recognition
 •  Computer Vision
 •  Computational Intelligence
 •  Image and Video Processing
 •  Natural Language Processing
 •  Cognitive Science and Artificial Thinking
 •  Text Mining

Research Topics in Computer Science Research - Complutense University of Madrid

Advanced Machine Learning:
 •  Automated Machine Learning for Big Data
 •  Deep Learning for Natural Language Processing
 •  Reinforcement Learning for Robotics

Pattern Recognition:
 •  Machine Learning for Pattern Recognition
 •  Image and Video Analysis for Surveillance
 •  Biometric Recognition Systems

Computer Vision:
 •  3D Computer Vision for Autonomous Vehicles
 •  Object Detection and Tracking in Video Streams
 •  Augmented Reality and Virtual Reality Applications

Computational Intelligence:
 •  Evolutionary Algorithms for Optimization Problems
 •  Swarm Intelligence for Autonomous Agents
 •  Fuzzy Logic and Neural Networks for Decision Making

Image and Video Processing:
 •  Image Segmentation and Classification Techniques
 •  Video Compression Algorithms and Applications
 •  Image Enhancement and Restoration Techniques

Natural Language Processing:
 •  Natural Language Understanding and Generation Systems
 •  Text Mining and Information Retrieval Systems
 •  Speech Recognition and Synthesis Systems

Cognitive Science and Artificial Thinking:
 •  Cognitive Robotics for Humanoid Robots
 •  Cognitive Architectures for Autonomous Agents

Computer Science Research Labs with Specialization - Complutense University of Madrid


 •  Endzhe Matykina-s lab
 •  Brain Mapping Lab
 •  Mechanical Laboratory
 •  Design Laboratory
 •  Electronic Laboratory
 •  Glass Laboratory

Scholarship Programs and Funded Projects for Computer Science - Complutense University of Madrid


 •  Fellowship Program
 •  Research Fellowship Program
 •  Undergraduate Scholarship Program
 •  Merit Scholarship Program
 •  Scholarships in Spain Without IELTS
 •  Finland Government Scholarship
 •  University Of Victoria Scholarships in Canada
 •  Scholarships of Excellence
 •  Scholarships for students with disabilities

PhD Admission Procedure for Computer Science -Complutense University of Madrid

Admission Requirements:
 •  Applicants must have a master-s degree with a good academic score
 •  Applicants must submit a research proposal and two letters of recommendation
 •  Applicants must demonstrate proficiency in Spanish or English
 •  Applicants must provide evidence of their academic record and professional experience