Electrical and Computer Engineering

Education objectives

Objectives

The PhD in Electrical and Computer Engineering aims at preparing researchers with the capacity to perform autonomous research activities and the ability to lead innovation processes in the scientific area of Electrical and Computer Engineering, in both academic and enterprise environments.

This 3rd cycle complements the basic training of candidates for the improvement of studies and research and development in emerging areas of knowledge. Upon completion of the course of study, candidates will be able to lead, with scientific rigor and technological and methodological present, processes involving analysis, design, modeling, production and operation of advanced and innovative systems in the field of Electrical and Computer Engineering.

Specific objectives per specialization area: 

-  Computational and Perceptional Systems. Acquisition of advanced knowledge on topics related to the development of computational and perceptional systems, including modeling of complex evolutionary systems with learning capability, perceptional sub-systems (e.g. image processing with Artificial Intelligence techniques), and computational models and supporting technologies for embedded systems. 

-  Control and Decision. Develop skills and capacities to elaborate mathematical models, formulate and analyze complex problems in the scientific areas of Control and Decision including optimization, stability and robustness, industrial process supervision, and decision support systems. 

-   Electronics. Provide advanced education and advanced training in the area of Electronics and design of integrated circuits, including skills in research and development in this area. Cover all major industry-related areas such as RF and based-band analog and mixed-signal design and signal-processing in advanced deep-submicron CMOS technologies. 

-  Energy. Provide advanced knowledge and develop research and project skills in the area of Electrical Energy, including traditional and alternative (sustainable) sources, and covering the aspects of generation, transport, management and optimization. 

-  Enterprise Collaborative Networks. Provide advanced education in the area of Collaborative Networks including virtual enterprises, virtual organizations and their breeding environments, professional virtual communities, social networks, etc. In addition to the theoretical concepts and reference models, the acquisition of analysis, project, and management skills for new collaborative structures and their supporting technological infrastructures is also aimed. 

-  Industry Information Systems. Acquisition of advanced knowledge and skills on theoretical principles, modeling techniques, reference architectures, interoperability support methods, embedded computing and computational intelligence, including research and project in the area of Information Systems applied to industry. 

-  Robotics and Integrated Manufacturing. Offer advanced education in the area of Robotic Systems and Intelligent and Integrated Manufacturing, including acquisition of skills in research and project of advanced automation systems and service robotics. Additional skills to be acquired on analysis and design of complex distributed systems with emerging properties / behavior. 

- Signal Processing. Develop signal modeling and analysis skills (spectral analysis, ARMA linear models, time-frequency distributions, etc.), as well as their application in innovative areas (e.g. biomedical applications). 

-  Telecommunications. Provide advanced education and research skills in telecommunication systems, including architectures and reference models, networks, protocols, wireless communication, infra-structured, ad hoc, and meshed networks.

Besides the emphasis on the realization of an original research work, leading to the generation of new knowledge, and the corresponding field of scientific research methodologies, the PhD also aims to provide the candidate with a major set of additional skills that are essential requirements to address the new challenges in the career of a doctorate. Thus, in accordance with the recommendations of the European University Association, the study cycle covers a number of aspects commonly called "soft skills" / "transferable skills", that includes communication skills and technical writing, leadership and time management and resources, partnerships and teamwork promotion, scientific ethics and intellectual property rights, technical events organization, entrepreneurship and transfer of research results to the socio-economic fabric, etc. Understanding and scientific research methods domain should also improve the critical skills, the ability to synthesis of complex contexts and very dynamic, thus preparing candidates for independent action.