Job Information
Organisation/Company: Hitotsubashi University
Research Field: Educational sciences, History, Psychological sciences, Religious sciences, Language sciences, Management sciences, Juridical sciences, Geography, Philosophy, Political sciences, Literature, Anthropology, Arts, Ethics in natural sciences, Ethics in social sciences, Ethics in physical sciences, Sociology, Cultural studies, Economics, Communication sciences, Demography, Criminology, Ethics in health sciences, Engineering, Information science, Computer science, Technology
Researcher Profile: Leading Researcher (R4); Established Researcher (R3)
Application Deadline: 31 Aug 2026 - 23:59 (UTC)
Country: Japan
Type of Contract: Permanent
Job Status: Not Applicable
Hours Per Week: See description
Is the job funded through the EU Research Framework Programme? Not funded by a EU programme
Is the Job related to staff position within a Research Infrastructure? No
Offer Description
Background of the recruitment and description of the project
The Graduate School of Social Data Science (SDS) at Hitotsubashi University has been selected for MEXT’s “Capacity Enhancement Support Project for Universities and Colleges of Technology” (support for capacity enhancement to secure advanced information professionals), and is building an education and research hub in “Social Data Science,” an interdisciplinary field integrating the social sciences and data science. The School established its master’s program in April 2023, established a doctoral program in April 2025, and plans to increase its master’s program enrollment quota in FY2027 (from 21 to 36 students), requiring further strengthening of its education and research system. As part of this project, this recruitment seeks a faculty member who will pursue international, data-driven empirical research (including quantitative, computational, and qualitative methods) on the institutions, organizations, policies, or social processes surrounding science, technology, innovation, R&D, and knowledge production, and who will contribute to the School’s education, research, and interdisciplinary collaboration.
Field of Specialization
Applicants’ disciplinary background is not restricted, but the following fields are primarily envisioned.
- Core fields: science, technology and innovation policy; economics of science, technology and innovation; scientometrics (including bibliometrics and informetrics); computational social science
- Related fields: research policy; policy science; innovation studies; knowledge economics; quantitative research on scientific activity itself (the “science of science”); research evaluation; quantitative science and technology studies (STS); sociology of science; history and philosophy of science; information science; etc.
However, applicants must demonstrate, through their representative publications and research plan, that data-driven empirical analysis (including quantitative, computational, or qualitative analysis) constitutes a major comp
Work content and job description
Teaching
- Undergraduate: data-science-related courses (including seminars)
- Master’s program courses: e.g., “Advanced Topics in Social Data Science,” “ELSI of Data Science”
- Doctoral program courses: e.g., “SDS Research Methodology I (Responsible Research and Innovation),” “SDS Research Methodology II (R&D Management),” “SDS Collaborative Project Seminar”
Teaching load: full-time: approximately 2 courses per week (excluding seminars,etc.)
Research and Social Contribution
- Advancing quantitative, computational, and qualitative empirical research on science, technology, innovation, and knowledge production
- Conducting joint research through industry-academia-government collaboration platforms
- Actively pursuing external research funding
University Administration
- Participation in various in-house committees (including entrance examination duties)
- Other duties necessary for university administration
(Scope of possible changes) General corporate/institutional operations.
Assigned department Existing departments
Work location
Address 186-8601 Tokyo 2-1 Naka, Kunitachi
(Scope of change) Place determined by the University
Number of hired
Number of hired: 1 person(s)
Hiring date: 2027-04-01 00:00:00
Starting date: 2027-04-01 00:00:00
Where to apply
Website: https://jrecin.jst.go.jp/seek/SeekJorDetail?fn=0&ln=1&id=D126072392&ln_jor=1
Requirements
Additional Information
Benefits
Compensation
Annual salary: 5 million yen
Wages description: 【Estimated Annual Salary (for reference only)】
（Lecturer level）5 million yen - 7 million yen （Associate Professor）6 million yen - 8 million yen （Professor level）7 million yen - 9 million yen
The salary figure is for reference only and will be determined based on career and other factors in accordance with the University's salary regulations.
Please note that additional allowances for obtaining competitive funding and for international research performance are excluded from the reference amount.
Working hours: 08:30-17:15
Break time: 12:00-13:00
Holidays: Days off include Saturdays, Sundays, national holidays, year-end and New Year days and other days as designated by the university president.
※Where classes must be held on Saturdays, Sundays, etc. due to curricular requirements, a compensatory holiday may be substituted.
Overtime and other explanations: Workhours are considered to be 7 hours and 45 minutes per weekday, totaling 38 hours and 45 minutes per week, in accordance with the Discretionary Work System for Professional Work.
The standard workweek consists of five days a week, Monday through Friday.
Employment type: Regular employee
Employment type description: This position is funded by a time-limited budget under MEXT’s “Capacity Enhancement Support Project for Universities and Colleges of Technology,” and the contract term is a maximum of 5 years.
This position is not subject to the tenure-track system, and conversion to an indefinite-term position is not institutionally planned.
Contract period: Nontenured
Contract period description: 5 years
Probationary period: Probationary period present
Probationary period description: Trial period 6 months
Various systems
Others: Allowances: Provided pursuant to the internal pay regulations of the University.
Insurance
- Employees' Health Insurance: Yes
- Employees' Pension Insurance: Yes
- Worker's accident insurance: Yes
- Employment insurance: Yes
Measures for preventing passive smoking at the workplace
Smoking is prohibited on campus, except in designated smoking areas.
Supplementary explanation of compensation
Annual paid leave: 20 days per year (January 1 – December 31). Other paid leave: child nursing care leave, family care leave, maternity leave, bereavement leave, sick leave, etc.
Additional comments
- At Hitotsubashi University, the Japanese titles “Kōshi” and “Jun-Kyōju” correspond to the English titles “Assistant Professor” and “Associate Professor,” respectively.
- Personal information obtained through the application documents will be used solely for the purposes of selecting candidates, as well as for employment-related tasks after hiring, including human resources, payroll, welfare benefits, health management, labor and hygiene management, entry/exit management, and management of internal systems and facilities. The information will not be used or provided to third parties for any other purpose. However, if necessary for the execution of these purposes, the handling of such information may be outsourced to external institutions with which the university has entered into confidentiality agreements.
- Smoking is prohibited on campus, except in designated smoking areas.
- Travel expenses to the interview venue will be borne by the applicant.
- Although the university does not have its own staff housing, it may be possible to use staff housing provided by affiliated institutions or universities.
- Hitotsubashi University is an equal opportunity employer in the spirit of the Basic Act for Gender-Equal Society.
Work Location(s)
Number of offers available: 1
Company/Institute: Hitotsubashi University
Country: Japan
City: Tokyo
Contact
City: Tokyo
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