The Université de Lille is a public research institution in Lille, France, founded in 1562. Université de Lille is one of France-s leading institutions of higher education, eminent for its excellence in research and teaching.
The Université de Lille comprises several faculties and schools, such as the Faculties of Law and Political Science, Economics and Management, Medicine and Health, and Humanities and Social Sciences.
Research at the Université de Lille is a core focus of the institution, with a strong prominence on interdisciplinary collaboration and the advancement of innovative solutions to the world-s most pressing challenges.
Université de Lille is a major hub for research and innovation in France and worldwide and imparts significant contributions to various fields, and their investigation is assisting in shaping the future of science and technology.
Université de Lille promotes excellence by advancing fundamental and applied research at the superior level, guaranteeing the quality of education by reflecting on the findings human, social, and environmental consequences.
Address: 42 Rue Paul Duez, 59000 Lille, France
Phone: +33 3 62 26 90 00
Email: camille.masse@univ-lille.fr.
Website: https://www.univ-lille.fr/
Vocational bachelor-s degrees in computer science;
• Design; management of network infrastructure
• Development and internet/intranet administration
Master Degree;
• Robotics and Transport
• Electrical Engineering for Sustainable Development
• High Performance Computing and Simulation
• Advanced Scientific Computing
Computer science research at Université de Lille covers a broad range of topics including
• Optimization
• Modeling for Life Sciences
• Interaction and Collective Intelligence
• Software Engineering
• Tolerance Prognostic System
• Data Intelligence
• Control and Scientific Computing
• Adaptive and Secure Embedded Systems
• High-Performance Computing
Optimization:
• Robust optimization
• Metaheuristics for optimization
• Large-scale optimization
• Combinatorial optimization
Modeling for Life Sciences:
• Bioinformatics and computational biology
• Medical image analysis
• Computational Neuroscience
• Biomechanics modeling
• Clinical decision support systems
• BioComputing
• Color Imaging
Interaction and Collective Intelligence:
• Human-computer interaction
• Social computing
• Group decision making
• Natural language processing
• Recommender systems
Software Engineering:
• Model-driven engineering
• Empirical software engineering
• Software security and privacy
• Software performance engineering
Tolerance Prognostic System:
• Fault-tolerant systems
• Safety-critical systems
• Prognostic and health management
• Cyber-physical systems
Data Intelligence:
• Machine learning
• Big data analytics
• Data mining
• Natural language processing
• Information retrieval
• Social network analysis
Control and Scientific Computing:
• Control theory and applications
• Numerical analysis and scientific computing
• High-performance computing
• Computational fluid dynamics
Adaptive and Secure Embedded Systems:
• Embedded software and systems
• Cyber-physical systems security
• Cryptography and security protocols
• Autonomous and self-adaptive systems
High-Performance Computing:
• Parallel and distributed computing
• Cloud computing
• High-performance data analytics
• High-performance scientific computing
• OPTIMA: Optimization: Models and Applications Group
• MSV: Modeling for Life Sciences Group
• I2C: Interaction and Collective Intelligence Group
• GL: Software Engineering Group
• ToPSyS: Tolerance Prognostic System of Systems Group
• DatInG: Data Intelligence Group
• CO2: Control and Scientific Computing Group
• SEAS: Adaptive and Secure Embedded Systems Group
• High-Performance Computing Group
• Doctoral contract
• Eiffel scholarship
• CIFRE scholarship
• Marie Skłodowska-Curie Actions (MSCA)
• French Embassy scholarship
• L-Oréal-UNESCO For Women in Science program
• INRIA scholarships
• International Mobility Grant
To apply for a Ph.D. program at Université de Lille in France, applicants need to fulfill the following admission requirements:
• Applicants must have a Master-s degree in a closely related field which must be recognized by the French Ministry of Education
• Non-native English speakers must demonstrate their proficiency in English via TOEFL or IELTS scores with minimum scores of 79 for TOEFL and 6.5 for IELTS
• Applicants must submit a research proposal detailing their intended research project with research skills, knowledge of the field, and ability to contribute to the academic community
• Applicants must submit two or three letters of recommendation from academic referees
• Applicants should submit a detailed curriculum vitae that includes their academic background, research experience, and any related work experience
• Applicants must attach a copy of their academic transcript of all courses and grades earned during their prior studies
• Based on the program, applicants may be required to submit additional documents, including a statement of purpose, publications, or work experience certificates
