QS ranking profile
Kobe University
This page presents clearly labeled QS ranking data for orientation. It does not verify programs, supervisors, funding, admission requirements, or the university's website.
- QS 2026 rank
- #482
- Down 17 places since 2025
- QS 2025 rank
- #465
- Overall score
- 33
Explore opportunities at Kobe University
Browse active research positions, doctoral fellowships, and university funding calls indexed from official faculties and verified sources.
QS indicators
Reported ranking indicators
Each indicator is scored out of 100 in the same QS snapshot as the summary above.
#324 worldwide
#353 worldwide
#434 worldwide
#725 worldwide
#801 worldwide
#801 worldwide
#801 worldwide
#791 worldwide
#608 worldwide
#269 worldwide
Institution profile
How QS classifies this institution
QS groups institutions by size, subject range, and research output.
- Size
- Large
- About 12,000 to 30,000 students
- Subject range
- Focused
- Teaches a limited range of faculty areas
- Research intensity
- Very high
- Very high research output in the QS classification
- Region
- Asia
- QS regional grouping
University profile
About Kobe University
Editorial background written for orientation. Verify programs, funding, and admission on the university's official pages.
Kobe University frames knowledge creation through research, society, and regional collaboration
Kobe University presents itself as a comprehensive university with eleven faculties and fourteen graduate schools, and it describes its work through a founding idea of harmony between theory and practice. Its public research pages connect basic and applied work with co-creation alongside society. This language gives useful institutional context, but it needs to be translated into a precise question before it becomes useful for research discovery. A question about environment, AI, public policy, a local industry, a social practice, or a biological process may need a different faculty, different evidence, and a different form of collaboration.
The university's research and corporate-relations route separates research support, funded research programmes, academic-research programmes, and collaboration. The separation matters because support infrastructure, a programme, and a reported research finding are not the same kind of record. A support page can show how research activity is enabled. A collaboration page can explain how external relationships are organised. A project, research report, or publication can give the clearest evidence about a defined object. A reader should use the public map to find these layers, then rely on the nearest local evidence for any focused statement.
Kobe's public stories connect environmental systems, AI, local industry, and social research
Kobe University's research pages show recent material on an environment for environmental research, AI-enabled smart air-conditioning technology, knowledge transfer in sake brewing, and relationships between hornets and humans. These examples are useful because they demonstrate how different questions can appear across the university. Environmental work may need field observations, climate or ecological data, measurements, materials, and policy records. AI and smart-air-conditioning work can involve sensors, algorithms, system performance, energy data, and user conditions. Sake-brewing knowledge transfer can bring together industry practice, history, organisations, documents, and interviews. Research on hornets and people may combine biological, environmental, and social evidence.
The examples should not be compressed into a single research identity. A technological system, a regional industry, an ecological interaction, and a social practice require different types of inquiry. The public stories can offer terms for locating a faculty, research group, project, or output record that says more about one chosen topic. They do not establish that every area is connected to the same local partner or uses the same data. The next source needs to name the actual object and research context before the profile can describe a narrow fit.
Separate a system from its setting when reading a Kobe University research question
A practical Kobe University note starts by separating what is being studied from where it takes place. The object might be an air-conditioning system, an environmental process, an insect-human interaction, an industry practice, a regional policy question, or another defined phenomenon. The setting could be a building, ecosystem, company, community, archive, laboratory, or data environment. Then identify the evidence that relates them: sensor readings, samples, images, interviews, field observations, company records, public documents, code, models, or measurement results. This gives the research and collaboration pages a clear role in a focused search.
Kobe's central pages establish a university-wide commitment to research, collaboration, and regional partnership. They cannot determine the current work of an individual unit or promise access to a collaborator or resource. A narrow conclusion should come from a page that explicitly links the object, setting, and research activity. If a public record gives only a high-level theme, it can still guide the next search, but it should not carry more weight than it has earned. That evidence-first approach makes the Kobe University profile relevant to real research exploration rather than general institutional description.