Kobe University is a prestigious national institution based in Kobe, Japan and chartered in 1949. Kobe University is famed for its research in a variety of areas, including science, technology, humanities, and social sciences. Kobe University has a strong dedication to research and innovation and has been ranked superiorly in several international rankings.
Kobe University has developed partnerships with research institutions and universities and collaborates with other institutions to carry out cutting-edge research. Research at Kobe University is conducted in the fields such as computer science, robotics, and engineering.
In addition, the university has established an innovation center to support technology transfer and entrepreneurship. Kobe University has a robust commitment to innovation, interdisciplinary research, and international partnerships, which lead it as a world-class research institution.
Kobe University contributes to the global community by creating knowledge established on universal values and encouraging rich understanding and strong leadership skills.
Address: 1-1 Rokkodaicho, Nada Ward, Kobe, Hyogo 657-8501, Japan
Phone: +81 78-881-1212
Email: admissions@h.kobe-u. ac.jp
Website: https://www.kobe-u.ac.jp/
• Bachelor-s degree in Engineering
Computer and Systems
• Master-s degree in Computational Science
• Doctoral degree in Computational Science
• Master-s degree in Science
Technology and Innovation
• Doctoral degree in Science
Technology and Innovation
• Master-s degree in Systems Science
• Doctoral degree in Systems Science
• Master-s degree in Information Science
• Doctoral degree in Information Science
Kobe University in Japan has a vibrant computer science research community with ongoing investigations in the areas such as
• Systems Planning
• Mathematical Logic and Statistics
• Processor Architecture
• Software Science
• Telecommunications
• Integrated Information Systems
• Knowledge and Information Processing
• Media Informatics
• Emergent Computing
• Kansei and Media Art
• Integrated Intelligence
• Basics of Computational Science
• Computational Fluid Dynamics
• Simulation Techniques
• Computational Space Science and Engineering
• Computational Molecular Engineering
• Computational Biology
• Applied Computational Science
• Large-scale Computational Science
Systems Planning;
• Systems Engineering
• System Optimization
• Multiagent System
• Service Engineering
• Medical Engineering
Applied Optics;
• Optical Sensing and Imaging
• Information Optics and Photonics
• Computational Imaging
• Imaging in Scattering and Fluctuation Fields
• 3D Visualization
Systems Control;
• Intelligent Robotics
• System Control
• Artificial Intelligence
• Affective Computing
• Health Engineering
Mathematical System Analysis;
• Systems and control theory of PDEs
• Control system design via numerical optimization
• Mathematical modeling of infectious diseases
• Analysis of time-delay systems
System Analysis;
• Intelligent Robot
• SensorHuman Robot Interaction
• Perceptual computing
Mathematical Logic and Statistics;
• Mathematical Logic
• Mathematical Statistics
• Combinatorics
Processor Architecture;
• Machine Learning
• Internet of Things
• Biomedical Engineering
• Sensor Networks
Software Science;
• Declarative Programming
• Constraint Programming
• Logic Programming
• SAT Solver
Telecommunications;
• Network Protocol
• Distributed Processing
• Mobile Networks
• HPC Network Applications
Integrated Information Systems;
• Integrated Circuit Design
• Advanced Electronics Packaging
• Electromagnetic Compatibility
Knowledge and Information Processing;
• Data mining
• Network Analysis
• Time Series Data Analysis
• Small data
Media Informatics;
• Speech Recognition
• Speech Synthesis
• Computer Vision
• Augmentative Communication
• Brain Analysis
Emergent Computing;
• Emergent Systems
• System Optimization
• System Control
• Agent
• Unmanned Aerial Vehicle
Kansei and Media Art;
• Human-Robot Interaction
• Human-Agent Interaction
Integrated Intelligence;
• Machine Learning
• Fundamentals of Artificial Intelligence
Basics of Computational Science;
• High-performance computing
• Numerical Analysis
Computational Fluid Dynamics;
• Computational Fluid Dynamics
• Applied Aerodynamics
• Continuum Mechanics
• Industrial Appication
• Massively Parallel Computing
Simulation Techniques;
• Magnetohydrodynamics
• Visualization
• Geomagnetic Field
• Yin-Yang Grid
Computational Space Science and Engineering;
• Space environment simulation
• Space Plasma
• Small body-plasma interactions
• Electromagnetic environment in space
• Parallelized simulation
• Research Institute for Economics and Business Administration
• Biosignal Research Center
• Research Center for Inland Seas
• Research Center for Urban Safety
• Molecular Photoscience Research Center
• Center for Social Systems Innovation
• Center for Mathematical and Data Sciences
• Center for Computational Social Science
• Engineering Biology Research Center
• Research Center for Membrane and Film Technology
• Center for Advanced Medical Engineering Research & Development
• Center of Optical Scattering Image Science
• Research Facility Center for Science and Technology
• Center for Environmental Management
• Enterprise Partnerships Division
• Japanese Government ("Monbukagakusho" ) Scholarship
• JASSO "Student Exchange Support Program"
• HUMAP Student Exchange Promotion Program (Inbound) Scholarship
• Kobe University Fund
• Kobe University Graduate School of Engineering Scholarship
• JASSO Honors Scholarship for Privately Financed International Students
• JSPS Research Fellowship for Young Scientists
• MEXT Scholarship
• Kobe University International Doctoral Program in Informatics Scholarship
The admission requirements for a Ph.D. in Computer Science at Kobe University in Japan are as follows:
• Applicants must have a master-s degree or equivalent in a closely relevant field of study, such as Computer Science, Information Technology, or Engineering
• Applicants must be proficient in either Japanese or English. Non-native speakers of either language must submit the results of an official language test such as TOEFL or IELTS as evidence of language proficiency
• Applicants must submit a research proposal detailing their intended area of research and exhibiting their potential to contribute to the discipline of Computer Science
• Applicants must submit two or more letters of recommendation from academic professionals
• Applicants must submit an official transcript from all prior academic institutions pursued
• Applicants may be required to take an entrance examination to exhibit their academic abilities and knowledge of Computer Science
