P*Machine learning techniques for cognitive dynamic systems: application of the Bayesian approach to radio and video domains* /ppThe proposed PhD involves the study of machine learning techniques with a Bayesian approach: the goal of the PhD is to develop novel learning techniques and apply them to possibly two different domains. On one side, bio-inspired learning approaches can be applied to cognitive radio networks thus allowing adaptive methods for analysisbrand decision to evolve under specific environmental operating conditions. Focus will be on Bayesian methods and game theory approach for modelling dynamic strategies for opportunistic spectrum access. /ppMoreover, a Bayesian approach can be applied for learning from video data: signals acquired from both static surveillance cameras and egocentric vision sensors can be analysed for characterizing behaviours of both single users and complex active entities (e.g. crowds). /ppActivities will be oriented to address the use of developed methods within bio-inspired cognitive artificial systems for physical security and telecommunications. /ppPossibility will be open during the PhD to join on going funded research projects when available within the joint labs ISIP40 has with industries (e.g Technoaware, Telecom, ligurian industrial district SIIT). /ph3Company: /h3pUniversity of Genoa /ph3Qualifications: /h3p1. *Laurea Vecchio Ordinamento*or*Laurea Specialistica*degree for Italian applicants in one of the following fields (or another relate field);*Master of Science*or equivalent degree forbrapplicants from abroad:br1. Telecommunication Engineeringbr2. Electronic Engineeringbr3. Information Engineeringbr4. ITbr5. Computer Science (or Laurea degree in Informatica) /pp2. Basic knowledge in the following topics:br1. Signal Processingbr2. Communication Systemsbr3. Pattern Recognitionbr4. Image/Video Processing /pp3. English knowledge /ph3Language requirements: /h3pEnglish /ph3Specific requirements: /h3p1 position (3 years) starting at the beginning of October 2015; expiration date for first level applications: May 10th, 2015* /ppTagged as: a Academia /a, a Bayesian Methods /a, a Italy /a, a Machine Learning /a, a Pattern Recognition /a /p #J-18808-Ljbffr