The Université de Paris is a French university founded in 2019 due to the combination of Paris Descartes University, Paris Diderot University, and the Institut de physique du globe de Paris situated in Paris, France.
The Université de Paris owns a long history of greatness in research and education. Université de Paris-s research spans a broad range of disciplines, such as the humanities, social sciences, life sciences, physics, mathematics, and engineering.
Being a scientific, cultural and professional public institution, Université de Paris is governed by the Education Code. Université de Paris focuses on the national territory-s advancement and social cohesion via its institutions presence, the enhancement and dissemination of the French-speaking world, and empowering interactions between science and society.
Research at Université de Paris deals with major global challenges to foster knowledge building, creativity to experiment and push the boundaries of comprehension for the betterment of society, analytical thinking, and the environment.
The Université Paris Cité is an intensive research university that imparts high-quality education, research and exchanging knowledge evolved at the best level, serving society.
Address: 45 Rue des Saints-Pères, 75006 Paris, France
Phone: +33 1 57 27 57 27
Email: ex.janedoe@univ-paris1.fr
Website: https://u-paris.fr/en/
• Bachelor in Computer Science
• Master in Computer Science
• Master in Language sciences
• Master in Fundamental and applied computer science
• Master in Mathematics; data; learning
• Master in linguistics – computational linguistics
• Ph.D. in Computer Science
Université de Paris - France conducts avant-garde research in several areas of computer science including
• Data analysis
• Machine learning
• Artificial intelligence
• Modeling and simulation
• Computer graphics and computer vision
• Cybersecurity
• Distributed systems
Data analysis:
• Statistical machine learning
• Computational statistics
• Big data analytics
• Data mining
• Bioinformatics
Machine learning:
• Deep learning
• Reinforcement learning
• Semi-supervised learning
• Transfer learning
Artificial intelligence:
• Natural language processing
• Multi-agent systems
• Robotics
• Cognitive computing
• Explainable AI
Modeling and simulation:
• Computational fluid dynamics
• Molecular modeling and simulation
• Agent-based modeling and simulation
• Traffic modeling and simulation
• Social simulation
Computer graphics and computer vision:
• 3D computer vision
• Virtual and augmented reality
• Image processing
• Human-computer interaction
• Computer graphics rendering
Cybersecurity:
• Cryptography
• Network security
• Privacy-preserving techniques
• Cyber threat intelligence
• Blockchain security
Distributed systems:
• Cloud computing
• Grid computing
• Mobile computing
• Distributed database systems
• LIPADE Laboratory
• MAP5 Laboratory
• BioSTM – Biostatistics, Processing and Modelling of Biological Data
• BIPID – Biostatistical Modelling, Pharmacometrics and Clinical Investigation in Infectious Diseases
• Centre Borelli
• CRC – Research Center of Cordeliers
• ECSTRA – Epidemiology and Clinical Statistics for Tumor, Respiratory, and Resuscitation Assessments
• INRIA/INSERM HeKA (Research Center of Cordeliers)
• IRIF – Institute of Fundamental Computer Science Research
• LFF- Formal Linguistics Laboratory
• LIPADE – Laboratory of Computer Science Paris Descartes
• LJLL – Jacques-Louis Lions Laboratory
• LPSM – Laboratory of Probability, Statistics & Modeling
• MAP5 – Mathematics Applied to Paris 5
• Eiffel excellence program
• SMARTS-UP program
• UDOPIA Ph.D. program in Artificial Intelligence
• Paris-Saclay University International Master-s Scholarship
• Eiffel Excellence Scholarship Program
• Marie Skłodowska-Curie Actions
• Institut Pasteur International Ph.D. Program
Admission Requirements in Université de Paris - France for Ph.D. in computer science;
• To be eligible for a Ph.D. program in computer science at the Université de Paris, applicants must have a master-s degree in computer science or a relevant field from an authorized university
• Academic transcripts must demonstrate a strong academic record
• Applicants need to demonstrate proficiency in French if it is not their first language
• Applicants submit a research proposal or statement of purpose detailing research interests and goals
• Applicants must provide at least two letters of recommendation from academic or professional references
