Explore the programs and courses offered by Telecommunications (Doctorate)
Browse Programs Admission InformationThe proposed doctoral training program is structured around two complementary specializations:
Specialization 1: Signal and Telecommunication Systems
Specialization 2: Devices and Telecommunication Systems
The program aims to provide doctoral students with advanced skills to address current technological challenges, particularly in the design of intelligent radar detectors capable of operating in complex environments, as well as mastering next-generation mobile communication technologies.
Benefits and outcomes of this program, from an educational perspective, will enhance the capacity of Algerian universities to train future qualified PhD holders in :advanced signal processing, design of intelligent radar detectors, modern telecommunication systems and
Integration of artificial intelligence in embedded systems.
From a research perspective, the program supports highly innovative research, especially at the intersection of intelligent radar, communication systems, and artificial intelligence. Expected contributions, including the development of conventional and passive intelligent radar detectors, modeling and implementation of adaptive communication systems and
Integration of AI for the optimization and automation of detection and transmission systems.
Priority Research Areas
1. Intelligent optimization of detection systems (AI algorithms for precision and speed)
2. Detection and estimation supported by machine learning.
3. Design of intelligent communication systems.
4. Hybrid architectures for the implementation of advanced radar detectors.
5. Modeling and optimization of metallic waveguide filters for telecommunications.
6. Design of innovative structures using SIW technology and metamaterials for medical and telecom applications.
7. Characterization of planar antennas optimized by AI.
8. Simulation and analysis of devices integrating anisotropic and magnetic materials (ferrites)
9. Satellite applications and space communications.
10. Intelligent communication networks (IoT, 5G/6G, edge computing).
11. Remote sensing and advanced telecommunications through deep learning.
The following modules are taught over two semesters.
1. Knowledge Reinforcement Modules
1.1 Modules common to both specializations (SST and DST)
These modules aim to strengthen the essential scientific and technical foundations for both tracks:
Module 1: Digital Techniques and MATLAB
Module 2: Advanced Telecommunication Techniques
Module 3: Satellite Networks
Module 4: Radar Technologies
1.2 Modules specific to the SST specialization
Module 1: Modeling, Estimation, and Distributed CFAR Detection (binary and fuzzy)
Module 2: Microwave Engineering
1.3 Modules specific to the DST specialization
Module 1: Space Telecommunications
Module 2: Microwave Engineering
2. Technical English Modules (common to both specializations)
Module 1: Terminology and Public Speaking
Module 2: Practical English and Essay Writing
3. Advanced Research Seminars
3.1 Seminars for the SST specialization
Seminar 1: Compressed Sensing
Seminar 2: Cryptography
Seminar 3: AI for Radar Signal Detection and Estimation
3.2 Seminars for the DST specialization
Seminar 1: Radiocommunication
Seminar 2: Microwave Measurements
Pedagogy of Research-Based Training
Training trainers through research is one of the fundamental pillars of our educational approach. It relies on the development of optimization, detection, estimation, and implementation techniques within modern communication systems.
The central objective of this doctoral training is to create an environment for simulation, design, and development in the field of advanced communication technologies.
Work Framework and Infrastructure
The work is supervised within two main structures:
SISCOM Laboratory (Signals and Communication Systems)
LET Laboratory (Electromagnetism and Telecommunications)
These laboratories bring together, on the same site, the hardware and software tools necessary to address all dimensions of modern communication systems, both theoretically and practically.
Educational and Scientific Objectives
The doctoral training pursues four major objectives:
Learning and Skill Development
1. Support for doctoral, Master’s, and Bachelor’s students (both employed and unemployed) 20 in acquiring emerging technologies before their integration into research and the job market.
3. Development of Didactic Tools
4. Design and implementation of innovative educational tools to support practical laboratory teaching.
5. Applied Research Center
Deepening scientific knowledge on communication and detection systems:
1. WLL systems, Radar, and Sonar
2. Hardware implementation on specialized circuits
3. Study of very high frequency transmissions
4. Exploration of new information and communication technologies
5. Development in hyperfrequency and advanced telecommunications
6. Research Valorization
Scientific production in the form of:
1. Patents, lecture notes, books, and articles
2. National and international communications
3. Contribution to the economic, scientific, and technological impact of research.
Research Objectives
Research activities are organized around two major complementary axes:
Axis 1: Detection and Communication Systems
1. Optimization of detection systems
2. Detection and estimation of signals
3. Architecture and implementation of detection systems
4. Intelligent communication systems
Axis 2: Advanced Design and Modeling
1. Telecommunications networks and systems
2. Modeling and design of antennas for telecommunications
3.Hyperfrequency devices for advanced applications
4. Hybrid numerical methods for electromagnetic modeling
Perspectives
The integration of young doctoral students into research teams ensures scientific continuity. Over time, this dynamic will lead to the creation of new autonomous teams, thus strengthening research and innovation capacities within the laboratories.
Master in Networks and Telecommunications.
Master in Telecommunication Systems.
Other equivalent Master's degrees.
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