TELECOM Paris is a prestigious French engineering institution based in Paris, France, and is a member of the Institute Polytechnique de Paris (IP Paris). TELECOM Paris is one of France-s oldest and most appreciated engineering universities, focusing on telecommunications, digital technologies, and computer science.
TELECOM Paris proffers a range of undergraduate and graduate programs, such as a Bachelor-s degree in Computer Science and Communication Networks, Master-s and Ph.D. programs in areas such as Communications and Electronics, Digital Technologies, and Data Science.
TELECOM Paris delivers executive education programs for professionals to expand their knowledge and skills in these areas. Research is a major focus of TELECOM Paris, and famous for its leading-edge research in telecommunications and digital technologies.
TELECOM Paris is also an affiliate of several international research networks, including the European Telecommunications Standards Institute (ETSI) and the European Institute of Innovation and Technology (EIT). TELECOM Paris establishes broad foundations and highly specialized knowledge in digital technology and develops strong relationships with academic partners, businesses, and the socio-economic world to address societal and ecological issues.
Address:  19 place marguerite perey, 91120 Palaiseau, France
Phone:  +33 1 75 31 92 00
Email:  ex.jane.doe@telecom-paristech.fr
Website:  https://www.telecom-paris.fr/
• MSc in Engineering
• Post-Master-s Degree in Artificial Intelligence
• Post-Master-s Degree in Big Data
• Post-Master-s Degree in Cybersecurity and Cyberdefence
• Post-Master-s Degree in Design
Network Architecture and Cyber Security
• Post Master-s Degree in Digital Project Designer with UX Design Skills
• Post-Master-s Degree in Embedded Systems
• Post-Master-s Degree in Enterprise Digital Architect
• Post-Master-s Degree in Information Systems Manager
• Post-Master-s Degree in Innovation and Entrepreneurship
• Post Master-s Degree in Mobile Networks
IoT
and 5G
• Post-Master-s Degree in Network and Cyber Security Architect
• Post-Master-s Degree in Smart Mobility
• Doctorate (Ph.D.) in Cyber-physical networks and systems
• Doctorate (Ph.D.) in Computer science
data
and artificial intelligence
TELECOM Paris in France is known for its cutting-edge research in computer science; with a particular focus
• Data; Intelligence; Graphs [DIG]
• Information Mathematics; Communication and Computing [MC2]
• Networks; Mobility and Services [RMS]
• Autonomous Critical Embedded Systems [ACES]
• Security and Networks [CCN]
• Quantum Information and Applications [IQA]
• Visualization and Design Interaction Applications [DIVA]
Data, Intelligence, Graphs [DIG];
• Database Theory
• Query Languages
• Data Mining
• Graph Algorithms
• Data Stream Algorithms
• Information Retrieval
• Machine Learning
• Natural Language Processing
• Knowledge Representation and Reasoning
• Cognitive Models
Mathematics of Information, Communications and Computation [MC2];
• Secure Communications
• Secure Access Control
• End-to-End Security Architecture for Connected and Autonomous Vehicles
• Detection of Undesirable Behaviors in Cloud Computing
• Privacy
• Provable Security
• Secure Multi-Party Computation
• Post-Quantum Cryptography
• Automata Theory
• Complexity Theory, Operations Research, Graphs
• Error-Correcting Codes, Extreme Combinatorics
• Algebraic Geometry, Number Theory and Their Applications
Networks, Mobility and Services [RMS];
• Mobile Networks and Communications
• Future Internet and Internet of Things
• Cloud and Virtualization
Autonomous Critical Embedded Systems [ACES];
• Complex Autonomous Systems
• Fault-Tolerant and Asynchronous Distributed Computing
• Model-Based Testing
• Security in the Internet of Things
• Distributed Services
• Real-Time Systems
• Deterministic Platform
• Critical Systems Design Process
• Safety and Security
• Energy Consumption of Computing
Security and Networks [CCN];
• Secure Communications
• Secure Access Control
• End-to-End Security Architecture for Connected and Autonomous Vehicles
• Detection of Undesirable Behaviors in Cloud Computing
• Privacy
• Provable Security
• Secure Multi-Party Computation
• Post-Quantum Cryptography
• Automata Theory
• Complexity Theory, Operations Research, Graphs
• Error-Correcting Codes, Extreme Combinatorics
• Algebraic Geometry, Number Theory and Their Applications
Quantum Information and Applications [IQA];
• Quantum Communications
• Quantum Computing
• Quantum Optics
• Optical Communications
• Nonlinear Optics
• Quantum Learning
Visualization and Design Interaction Applications [DIVA];
• New Forms of Interaction
• Physical Artifacts, Tangible Interaction, Design
• New Paradigms of Interaction and Design
• Data Visualization and Sense Making
• Behavior Models
• Novice/Expert Transition
• LTCI: Information Processing and Communication Laboratory
• i3: Interdisciplinary Institute for Innovation
• CNRS Joint Research Unit
• Télécom Paris Ph.D. Program
• Marie Skłodowska-Curie Actions (MSCA) PhD Fellowship
• Idex Scholarship Program
• Eiffel Scholarship Program
• ERCIM Alain Bensoussan Fellowship
• AXA Research Fund Ph.D. Scholarship
• Télécom Paris Alumni Fund: International excellence scholarship
• FITEC- Latin America
• Foundation Patrick & Lina Drahi
• China Scholarship Council (CSC)
• Erasmus +
To apply for a Ph.D. program in computer science at Telecom Paris in France, candidates need to meet the following admission requirements:
• Candidates must have a Master-s degree in Computer Science or a relevant field, with a strong academic record
• Candidates must have significant research experience and demonstrate a strong interest in research
• Candidates must have excellent proficiency in English, as most of the courses are taught in English
• Candidates must provide two or three letters of recommendation from professors or professionals
• Candidates must submit a detailed research proposal detailing their research interests, research questions, methodology, and expected results
• Candidates must provide a detailed curriculum vitae (CV) describing their academic and professional achievements, along with a statement of purpose explaining their reason for pursuing a Ph.D. in computer science