The École des Ponts ParisTech is a French engineering university based in Marne-la-Vallée and chartered in 1747. École des Ponts ParisTech is renowned for its civil engineering, transportation, and urban planning expertise.
École des Ponts ParisTech is an extremely prestigious institution with a robust research focus and various research departments and laboratories. Research at ENPC is significantly interdisciplinary, covering the fields of engineering, mathematics, economics, and social sciences.
École des Ponts ParisTech is recognized as a leading international player in rapidly altering globalized education and research environment, with increasing international competition.
Research at École des Ponts ParisTech is investigating big societal challenges and influence in three major academic areas: Civil engineering, Environment, Transportation, Cities, Economics, Finance, Industrial Engineering, Mathematics, Information Technology, Mechanical Engineering, and Materials Sciences.
Address: 12 Bd Copernic, 77420 Champs-sur-Marne, France
Phone: +33 1 64 15 30 00
Email: bve@enpc.fr.
Website: https://www.ecoledesponts.fr/
• Bsc - Bachelor of Applied Mathematics and Computer Science
• MSc - Master of Science Sustainable Impact Analysis (SIA)
• Ph.D. - Information Technology
Executive Masters;
• Engineering of Large Energy Structures
• Railway and Urban Transport System Engineering
• Smart Mobility
• Supply Chain Design & Management
• Energy Projects
Special Programs;
• Advanced Robotics
• Design by Data
• Industrial Systems Design & Robotics
• Mathematics for Finance and Data
• Mathematics; Vision; Learning
The computer science research at Ecole des Ponts ParisTech in France focuses on implementing innovative solutions for several real-world problems in the following areas;
• Advanced programming and algorithms
• Data Science
• Numerical statistics & data analysis
• Dynamic systems control/functional analysis
• Software development technique
• Deep Learning
• Information Processing and Artificial
• Machine Learning
Advanced Programming and Algorithms:
• High-performance computing and parallel programming
• Distributed systems and algorithms
• Complexity theory and algorithm design
Data Science:
• Machine learning for big data analytics
• Data visualization and exploration
• Recommender systems and personalized recommendations
Numerical Statistics and Data Analysis:
• Time series analysis and forecasting
• Nonparametric statistics and machine learning
• Robust statistics and outlier detection
Dynamic Systems Control/Functional Analysis:
• Optimal control and optimization theory
• Stochastic control and filtering
• Nonlinear systems and chaos theory
Software Development Techniques:
• Agile methodologies and software engineering practices
• Model-driven engineering and code generation
• Software architecture and design patterns
Deep Learning:
• Reinforcement learning and decision-making
• Neural architecture search and optimization
Information Processing and Artificial Intelligence:
• Multi-agent systems and game theory
• Cognitive computing and natural language understanding
• Explainable artificial intelligence and ethics in AI
Machine Learning:
• Supervised, unsupervised and semi-supervised learning
• Transfer learning and domain adaptation
• Online learning and sequential decision-making
• Atmospheric Environment Teaching and Research Center
• Research Center in Mathematics and Scientific Computing
• International Environment and Development Research Center
• Saint-Venant Hydraulics Laboratory
• Gaspard Monge Computer Science Laboratory
• Dynamic Meteorology Laboratory
• Laboratoire Navier
• LATTS - Technologies, Territories, and Societies Laboratory
• Erasmus + program
• École des PontsParisTech Social criteria scholarships
• Corporate fellowships
• Eiffel Scholarships
• French government scholarships
• BRAFITEC scholarships
• AFRITEC scholarships
• AGAUR scholarships
• Excellence Scholarship
• French Government Scholarship
• Eiffel Scholarship
• CIFRE Scholarship
Funded projects in computer science at Ecole des Ponts ParisTech in France
• Privacy Preserving Machine Learning
• Fairness in Machine Learning
• Secure and Efficient Blockchain Technologies
• Smart City Security and Privacy
To be considered for the Ph.D. program in Computer Science at Ecole des Ponts ParisTech in France, applicants must meet the following requirements:
• A Master-s degree in Computer Science, Mathematics, or a related discipline
• Demonstrated competence in mathematics and computer science via undergraduate and graduate coursework and related research experience
• An average grade point average of B or higher in the Master-s program
• Satisfactory English proficiency, demonstrated by a TOEFL score of at least 90
• Strong letters of recommendation from the applicant-s previous professors, researchers or employers
• A well-written research proposal detailing the applicant-s research interests, potential research area, and reason for pursuing a PhD
