The Université Paris-Saclay is a French research-intensive institution in Gif-sur-Yvette, just south of Paris and established in 2015. Université Paris-Saclay-s research spans a broad range of disciplines, such as the sciences, engineering, economics, law, and the humanities.
Mainly, the Computer Science department is known for its proficiency in the field of computer science, and its research has contributed significantly to the advancement of new technologies and applications.
Research at Université Paris-Saclay holds the assistance of robust national research organizations, state-of-the-art scientific facilities and equipment and a high density of industrial laboratories. Université Paris-Saclay fosters interdisciplinary collaboration and imparts a dynamic environment for students, researchers, and faculty to work together on groundbreaking projects.
Université Paris-Saclay contributes to the region-s economic, social, and cultural advancement, conducive to positively impacting society as a whole.
Address: Bâtiment Bréguet, 3 Rue Joliot Curie 2e ét, 91190 Gif-sur-Yvette, France
Phone: +33 1 69 15 67 50
Email: laurence.monsellier@universite-paris-saclay.fr
Undergraduate Programme;
• Computer Science
• Computer Science
Management
• Computer Science
Life Sciences
• Law
Computer Science
Master-s Programme;
• Bioinformatics / Computational Biology
• Computer Science
• Computer Science Applied to Business Management
• Industrial Engineering
• Integrative Biology and Physiology
• Intellectual Property Law / Information Technology Law
• Mathematics and applications
• Nuclear Energy
Ph.D. Study;
• Computer Science
Université Paris-Saclay in Gif-sur-Yvette; France is renowned for its cutting-edge computer science research; with a particular focus on the following areas
• Algorithmics
• Artificial Intelligence
• Automation
• Bioinformatics
• Cybersecurity
• Data Science
• Formal Methods
• High Performance Computing
• Human-Computer Interactions
• Image Processing
• Internet of Things
• Knowledge Representation
• Natural Language Processing
• Machine Learning
• Machine and System Architecture
• Networks and Telecommunications
• Programming Language
• Quantum Computing
• Robotics
• Signal Processing
• Software Engineering
Algorithmics:
• Combinatorics
• graph theory
• computational geometry
Artificial Intelligence:
• Machine learning
• deep learning
• natural language processing
• computer vision
• explainable AI
• ethical AI
Automation:
• Control theory
• discrete event systems
• hybrid systems
• robotics
Bioinformatics:
• Genomics
• proteomics
• structural bioinformatics
• computational biophysics
• medical informatics
Cybersecurity:
• Cryptography
• network security
• secure software
• privacy
• intrusion detection
Data Science:
• Data mining
• big data analytics
• data visualization
• data integration
Formal Methods:
• Formal verification
• model checking
• theorem proving
High Performance Computing:
• Parallel computing
• distributed systems
• cloud computing
• quantum computing
Human-Computer Interactions:
• User-centered design
• human-robot interaction
• virtual and augmented reality
Image Processing:
• Image analysis
• computer vision
• image and video compression
• multimedia retrieval
Internet of Things:
• Wireless sensor networks
• IoT platforms
• edge computing
• embedded systems
Knowledge Representation:
• Ontologies
• semantic web
• knowledge-based systems
• logic programming
Natural Language Processing:
• Machine translation
• sentiment analysis
• text mining
• information retrieval
Machine Learning:
• Reinforcement learning
• deep reinforcement learning
• probabilistic graphical models
• active learning
Machine and System Architecture:
• Computer architecture
• microarchitecture
• hardware design
• embedded systems
Networks and Telecommunications:
• Wireless networks
• cellular networks
• optical networks
Programming Language:
• Language design
• semantics
• type systems
• programming paradigms
Quantum Computing:
• Quantum algorithms
• quantum error correction
• quantum cryptography
Robotics:
• Robot perception
• manipulation
• navigation
• motion planning
• swarm robotics
Signal Processing:
• Digital signal processing
• image and video processing
• biomedical signal processing
Software Engineering:
• Requirements engineering
• software quality assurance
• software metrics
• SystemX Technological Research Institute (IRT)
• DATAIA institute
• Center for Data Science (CDS)
• Laboratory of Systems and Technologies Integration
• LRI - Computer Research Laboratory
• Laboratory of Excellence in Computer Science
• Interdisciplinary Laboratory of Digital Sciences
• Formal Methods Laboratory
• High-Performance Computing and Simulation Laboratory - DAM
• Digital Vision Center
• Data and Algorithms for a Smart and Sustainable City
• Computer Science, Bioinformatics, and Complex Systems
• Signals and Systems Laboratory
• Parallel Computing, Networks, and Distributed Algorithms Laboratory
• Orsay Mathematics Laboratory
• Versailles Mathematics Laboratory
• University Laboratory for Research in Automated Production
• Mathematics and Computer Science Applied from Genome to Environment
• Systems and Applications of Information and Energy Technologies
• Université Paris-Saclay International Master-s scholarships
• Université Paris-Saclay Doctoral Programmes
• Eiffel Excellence Scholarship Program
• CSC-Paris Saclay Scholarship Program
• AXA Research Fund Ph.D. Fellowship
• Google Ph.D. Fellowship
To apply for the Ph.D. program in Computer Science at Université Paris-Saclay in Gif-sur-Yvette, France, the following requirements are typically expected:
• Applicants must hold a Master-s degree in Computer Science or a related field from a recognized institution of higher education
• Non-native English speakers may need to provide evidence of English proficiency, such as TOEFL or IELTS scores
• Applicants need to submit a research proposal detailing their research interests, research question, methodology, and expected outcomes
• Applicants need to provide at least two letters of recommendation from academic professionals
• Applicants must provide transcripts of their academic records, such as grades and courses taken
• Based on the program, an entrance exam may be needed to attend by the applicant-s knowledge and aptitude for doctoral-level research in Computer Science
• Applicants may also be required to attend an interview with the admissions committee
