Detailed information
Work location : Kinki district - Hyogo | Kinki district - Hyogo
Date of publication : 2024/05/31
Open Faculty Position: One full-time professor or associate professor of Data Science Course, Graduate School of Information Science
D124052090
Research field : Informatics - Unspecified | Social Infrastructure - Social systems engineering
Professor level : Regular employee - Tenured - Non-tenure track - Probationary period absent
Associate Professor : Regular employee - Tenured - Non-tenure track - Probationary period absent
Job description
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Background of the recruitment and description of the project
University of Hyogo established the Graduate School of Information Science in 2021, with a foundation in data science and computational science. The Graduate School conducts research and education in four fields: data science, computational science, health and medicine, and information security, as well as interdisciplinary and integrated fields that bridge information science with social sciences, natural sciences, and engineering.
https://www.u-hyogo.ac.jp/gsis/koubo.html
A distinguishing feature of the Graduate School is the presence of researchers with outstanding research achievements on a global scale. In addition, the Graduate School offers a unique educational and research environment for students, with joint research with the neighboring RIKEN and research and academic exchanges through the use of the supercomputer “Fugaku”. Furthermore, the Graduate School has excellent researchers in both education and research in the fields of mathematical optimization and algorithms. The undergraduate School of Social Information Science, which is affiliated with the Graduate School, conducts PBL (problem-based learning) exercises using real data in collaboration with companies and other organizations. Another feature is the promotion of technical collaboration and reskilling education with companies at Center for Mathematical Optimization and Data Science (tentative name).
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Work content and job description
This open recruitment seeks individuals who can practice cutting-edge research and education in the field of data and computational science, with a broad perspective on information science, computational science in a broad sense, and interdisciplinary and integrated fields, including social sciences, natural sciences, and engineering, which have recently deepened their ties with information science.
In research, we will evaluate attempts to conduct and build research and collaborations that contribute to the development of the Graduate School not only domestically but also from an international perspective, including, for example, strengthening joint research and systems with RIKEN, technical collaboration with companies in the fields of mathematical optimization and algorithms, and building interdisciplinary fields utilizing various social data in a broad sense. In education, in addition to graduate education focusing on the field of data and computational science, we also ask that the candidate be involved in undergraduate education, including PBL exercises using real data at the undergraduate School of Social Information Science as described above. We also expect the candidate to make social contributions through collaboration with companies and other research organizations, and to actively participate in university management.
1. Research field: informatics, statistical science, and business administration
2. Subjects to be assigned:
- Master’s program: Introduction to Data Science, Advanced Lecture for Data Science, Basic Study in Information Science 1 and 2, Advanced Study in Information Science 1 and2, and others
- Doctoral program: Advanced Lecture for Frontiers in Data Science, Seminar for Data Science, Special Study in Information Science I, II and III, and others
- Undergraduate program: Programming I, Mathematical Modeling, Introduction to Data Science, Problem Based Learning I, Modern Society and Information Technology, and others -
Assigned department
Existing departments
Graduate School of Information Science, University of Hyogo
Job type
- Professor level
- Associate Professor
Research field
- Informatics - Unspecified
- Social Infrastructure - Social systems engineering
Wages
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Common to all Job Types
Annual Salary : 5 million yen ~ 10 million yen
Based on the university's regulations; monthly salary, including various benefits; bianual bonuses.
Working hours
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Common to all Job Types
Working hours :08:45-17:30
Break time :12:00-13:00
Holidays : Based on the university's regulations
Overtime and other explanations : Japan's discretionary labor system is applied.
Application requirements
Qualifications
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Education and Degree Requirements
Ph.D. / Doctor
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Description
(1) Ph.D. and relevant research experience
(2) Lectures and supervise research activities at undergraduate and graduate schools
(3) Fluent verbal and written communication skills in Japanese language
Employment Type
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Common to all Job Types
Regular employee
Contract period
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Common to all Job Types
Tenured - Non-tenure track
Probationary period absent
Work location
- 651-2197 Hyogo 8-2-1, Gakuen-nishi-machi, Nishi-ku, Kobe, Hyogo, JAPAN 651-2197 Kobe Campus for Commerce
- 650-0047 Hyogo 7-1-28, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo, JAPAN 650-0047 Kobe Campus for Information Science
Compensation
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Various systems
Pay increase system : available
Bonus : available
Retirement allowances : available
Transportation expenses : available
Retirement age : available
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Insurance
Employees' Health Insurance : available
Employees' Pension Insurance : available
Worker's accident insurance : available
Employment insurance : available
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Supplementary explanation of compensation
Based on the university's regulations.
Application Considerations
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Others
University of Hyogo is actively promoting diversity and inclusion. We welcome applications from all qualified candidates regardless of gender, ethnicity, religion, sexual orientation, disability and other diverse backgrounds. We explicitly invite applicants qualified in research and education to apply.
Number of hired
1 person(s)
Hiring date : 2025/04/01
Starting date : 2025/04/01
Application period
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2024/05/31~2024/08/16 Deadline for receipt
Application method
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Application documents (specified forms)
- 01 Form１.docx
- 02 Form２.docx
- 03 Form３.docx
- 04 Form４.docx
- 05 Form５.docx
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Attached documents
Application Form : Mailing(1) Curriculum vitae (Form 1)Achievements and Activities : Mailing(2) Research achievements (Form 2) and Teaching and academic activities (Form 3)
(3) Reprints and copies of three selected papers
(4) Summary of significant research (Form 4) and Future research and education statements (Form 5)
(5) Two recommendation letters (free format)Other Mailing Documents
* The applicant should submit the printed papers of all the necessary documents (1)-(4) together with a USB memory stick or CD-ROM which contains the PDF files. Submission by email is unacceptable.
* We will not return the documents in any case. -
Return of application documents
We will dispose of all application documents responsibly.
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Application document submission method (physically mailed documents)
650-0047 Hyogo 7-1-28, Minatojima-minami-machi, Chuo-ku, Kobe, Hyogo JAPAN 650-0047 Center for Computational Science Building
Graduate School of Information Science, University of Hyogo c/o Management DepartmentPrecautions : * Please write “Application for a faculty position in Data Science Course” in red on the front cover of the envelope. Application documents should be sent by registered mail. Note that the application documents will not be returned.
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* Out of application period.
URL of this job posting
Selection / Notification of result
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Selection
Screening of the documents and interview including a mock lecture. The interviewee has to pay his/her own travel expenses to attend the interview.
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Notification of result
Screening Result Notification will be sent by e-mail.
Contact details
University of Hyogo
Graduate School of Information Science, University of Hyogo
Prof. Tetsuya Fujie
0783031901
saiyo2024p@gsis.u-hyogo.ac.jp
Notes
