Université PSL is a research-intensive institution in the heart of Paris, France and was founded in 2010. Université PSL-s research covers a broad array of fields, from the physical and natural sciences to the social sciences and humanities, specifically emphasizing interdisciplinary collaboration and innovation.
Research at Université PSL addresses a few of the world-s most pressing challenges, including climate change, global health, and social justice. Université PSL comprises a group of 26 top-tier institutions, such as several of France-s most reputed schools and research centers in the sciences, arts, and humanities.
The Université PSL is intended for research, innovation, and educational excellence. Université PSL is dedicated to imparting its students with a world-class education, with an array of undergraduate, graduate, and doctoral programs in various fields, such as the arts, humanities, social sciences, and STEM (science, technology, engineering, and mathematics).
Université PSL-s aims for excellence, innovation, and interdisciplinary collaboration, lead it as the top center for research and education in Europe and worldwide. Université PSL provides trans-disciplinary, experiment-based research and teaching to create an impact on society with its contribution to building a more responsible, equitable and inclusive world.
Address: 60 Rue Mazarine, 75006 Paris, France
Phone: +33 1 85 76 08 70
Email:
Website: https://psl.eu/en
• Bachelor-s program in Organizational Computer Science
• Graduate Program in Computer Science
• Ph.D. in Computer Science
• Data Science Program
Computer science research at Université PSL in Paris; France; is highly interdisciplinary; with a focus on implementing new methods and tools for analyzing complex data structures; as well as investigating the ethical; social; and legal implications of several areas such as
• Algorithms
• Artificial intelligence
• Database
• Natural Language Processing
• Network and Security
• Semantics
Algorithms:
• Randomized algorithms
• Combinatorial optimization
• Algorithmic game theory
• Computational complexity
Artificial intelligence:
• Machine learning
• Deep learning
• Reinforcement learning
• Computer vision
Database:
• Database management systems
• Query optimization
• Data integration
• Data mining
• Big data analytics
Natural Language Processing:
• Text classification and clustering
• Named entity recognition
• Sentiment analysis
• Machine translation
• Question answering
• Text generation
Network and Security:
• Wireless networks
• Cloud computing and virtualization
• Network security and privacy
• Intrusion detection and prevention
• Cryptography
Semantics:
• Formal methods
• Ontologies and knowledge representation
• Semantic web
• Automated reasoning
• Programming languages and semantics
• Department of Computer Science at ENS - PSL (UMR 8548)
• LAMSADE - Dauphine - PSL
• Institut PRAIRIE
• Institut Convergences Q-Life
• Corail Lab
• WIFI Lab
• MemoLife Lab
• IPGG Lab
• HaStec Lab
• ENS-ICFP Lab
• DEEP Lab
• DCBIOL Lab
• CROUS Scholarship
• Merit-Based CROUS Scholarship
• Hardship Assistance
• PRAIRIE Scholarship
• Paris Mathematical Sciences Foundation (FSMP) Scholarship
• Dauphine Foundation Scholarship
• Erasmus+ Scholarship
• Supplemental Erasmus+ Scholarship for Students with Disabilities
• Scholarship from the Ministry of Higher Education, Research and Innovation – International Mobility Aid
• PSL Ph.D. Program
• PSL-ITI Ph.D. Fellowships
• DIM-ACAV Ph.D. Scholarships
• ENS-PSL Ph.D. Program
• PSL-Data Science Fellowships
• Microsoft Research Ph.D. scholarship program
• ERCIM Alain Bensoussan Fellowship
• Funded projects in computer science at Université PSL - Paris - France
• Data Science for Complex Systems
• ERC project Multi-Res
• Information and Data Exploitation at Large Scale
• Web Analysis, Synthesis, and Aggregation with Business Intelligence
• AI-driven Trusted Open Data Analytics
Admission requirements for a Ph.D. in Computer Science at Université PSL are
• A Master-s degree in Computer Science or a closely related area with a strong academic record
• A research proposal detailing your research interests and proposed project
• Proficiency in French or English
• Letters of recommendation from academic or professional references
• A statement of purpose outlining the motivation for pursuing a Ph.D
