EPFL - Lausanne - Switzerland is one of the world-s best scientific institutions, founded in 1853. EPFL University is in the heart of the Swiss Riviera and is well-known for its leading-edge research and innovation.
EPFL University is categorized into six faculties and seven research institutes, each concentrating on a particular field. EPFL University furnishes a broad range of programs in sciences, engineering, architecture, life sciences, technology and management and interdisciplinary research.
The EPFL University is dedicated to advancing research and innovation in an array of fields, such as information and communication technologies, energy and the environment, biomedical research, and nanotechnology. In recent decades, EPFL University has made significant in areas such as nanoscience, robotics, and artificial intelligence.
EPFL University offers various graduate and undergraduate engineering, science, and technology programs. EPFL University owns a Swiss and international vocation and concentrates on teaching, research and innovation.
Address: Rte Cantonale, 1015 Lausanne, Switzerland
Phone: +41 21 693 11 11
Email: accueil@epfl.ch
Website: https://www.epfl.ch/en/
Bachelor-s programs;
• Communication Systems
• Computer Science
Master-s programs;
• Communication Systems
• Computational Science and Engineering
• Computer Science
• Cyber Security
• Data Science
• Digital Humanities
• Robotics
Doctoral programs;
• EDCB Computational and Quantitative Biology
• EDIC Computer and Communication Sciences
• EDRS Robotics; Control and Intelligent Systems
• EDDH Digital Humanities
EPFL - Lausanne - Switzerland is renowned for its groundbreaking computer science research and some of its research areas are
• Algorithms & Theoretical Computer Science
• Artificial Intelligence & Machine Learning
• Computer Architecture & Integrated Systems
• Data Management & Information Retrieval
• Digital Education
• Distributed Computing
• Human-Computer Interaction
• Information & Communication Theory
• Natural Language Processing
• Operating Systems & Networks
• Programming Languages & Formal Methods
• Security & Privacy
• Signal & Image Processing
• Visual Computing
Algorithms & Theoretical Computer Science;
• Algorithmic Graph Theory
• Combinatorial Optimization
• Complexity Theory
• Computational Algebra
• Distributed Algorithms
• Network Flow Algorithms
Artificial Intelligence & Machine Learning;
• Natural Language And Image Processing
• Scientific Imaging
• Computational Neuroscience
• Computer Architecture & Integrated Systems
• Data Management & Information Retrieval
• Digital Education
• Distributed Computing;
• Edge Computing
• Distributed And Federated Machine Learning
• Sensor Data Management
• Blockchain Protocols
• Consensus Protocols
• Multiprocessor Algorithms
• Decentralized Systems
• Privacy-Aware Or Privacy-Preserving Computing
• Cloud Computing
• Warehouse-Scale Computing
Human-Computer Interaction;
• Conventional Devices
• Immersive Head-Mounted Displays
• Sensing Technologies Ranging
• Haptic Interfaces
Programming Languages & Formal Methods;
• Type Systems
• Model Checking
• Correctness By Construction, Constraint Solving, Theorem Proving, Analysis, Synthesis
• Query Processing, Transactions, And Actors
Security & Privacy;
• Cryptography
• Secure And Privacy-Preserving Machine Learning
• Secure And Verify Large And Complex Software Codebases
• Secure And Privacy-Preserving Systems Based On Decentralized Architectures
• Visual Intelligence and Learning Lab
• Security and Cryptography Lab
• Scalable Computing Systems Lab
• Robust Scalable Systems Software Lab
• Realistic Graphics Lab
• Natural Language Processing Lab
• Mobile Robotic Systems (STI/IC)
• Laboratory for Computation Security
• Information in Networked Systems Lab
• Human-Computer Interaction Lab
• Decentralized and Distributed Systems Lab
• Artificial Intelligence Lab
• Center for Intelligent Systems
• Scala Center
• Center for Digital Trust
• EcoCloud
• Swiss Data Science Center
• Theoretical Computer Science Group
• Information Processing Group
• EPFL Fellowships for Doctoral Studies
• EPFL Ambizione Fellowships
• Swiss National Science Foundation (SNSF) Fellowships
• Marie Curie Fellowships
• EPFL Computer Science Research Fellowships EPFL J-C Bose Fellowship Program
• Swiss National Science Foundation (SNSF) Professorships
• EPFL Professorships in Computer Science
Funded projects in computer science in EPFL - Lausanne - Switzerland
• A Machine Learning Framework for Autonomous Systems
• Automated Verification of Mixed-Signal Circuits
• MEMS-Based Smart Sensors for Autonomous Systems
To be eligible for admission into the Ph.D. Program at EPFL Lausanne, applicants must meet the following requirements
• Have a Master-s degree or equivalent from an authorized university with a minimum grade of 5 out of 10
• Have a strong background in the field of their intended Ph.D. research
• Have excellent written and oral communication skills in English
• Applicants must submit an online application form along with all relevant documents, including transcripts, statement of purpose, CV, research proposal
