Job Information
Organisation/Company: Hitotsubashi University
Research Field: Geosciences, Physics, Mathematics, Chemistry, Astronomy, Religious sciences, Psychological sciences, Literature, Political sciences, Arts, Anthropology, History, Geography, Management sciences, Juridical sciences, Language sciences, Philosophy, Communication sciences, Ethics in physical sciences, Economics, Criminology, Educational sciences, Ethics in health sciences, Ethics in social sciences, Ethics in natural sciences, Cultural studies, Demography, Sociology
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
In order to respond flexibly to the transformation of data-driven society and to enhance its international presence, the School aims to continually renew its education and research system by actively recruiting outstanding faculty, particularly promising young researchers who will lead the next generation. This recruitment seeks an outstanding faculty member, without restriction on rank, in order to strengthen the School’s education and research in the field of statistical science and data science—ranging from theory and methodology to econometrics and other applications in economics and the social sciences—and to ensure a smooth generational transition. 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.
Distinctive Features of the School
- Interdisciplinary education and research integrating social science insights with data science techniques
- Practical, problem-solving-oriented education through industry-academia-government collaboration platforms
- Development of educational programs in partnership with local communities, other universities, and colleges of technology
- Development and dissemination of data science teaching materials for primary and secondary education
Work content and job description
Teaching
The successful candidate will teach data-science-related courses such as “Statistics” at both the graduate and undergraduate levels, as well as lectures and seminars on statistical science (including theory and methodology), econometrics, AI and machine learning, big data analysis, and their application to social problemsolving.
- Undergraduate courses: “Statistics,” etc. (specific course assignments will take the appointee’s area of specialization into account)
- Master’s program courses: e.g., “Advanced Statistical Analysis (Applied/Academic),” “Advanced Topics in Social Data Science”
Teaching load: full-time: approximately ２ courses per week (excluding seminars, etc.)
Research and Social Contribution
- Advancing frontier research in statistical science and data science (including applications to economics and the social sciences)
- 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=D126072390&ln_jor=1
Additional Information
Benefits
Compensation
Leading Researcher (R4)
Annual salary: 7 million yen - 9 million yen
Wages description: 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
Contract period: Tenured
Probationary period: Probationary period present
Probationary period description: Trial period 6 months
Established Researcher (R3)
Annual salary: 6 million yen - 8 million yen
Wages description: 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
Contract period: Nontenured-Tenure-track
Contract period description: • (tenure-track): fixed term (initial appointment period of 5 years). • Extension of term: based on a performance review, the term may be extended (reappointed) once, for up to 2 years. • Tenure review: the candidate may request a tenure review (once only) from the Dean no later than 5 months before the end of the tenure-track period. A review committee will conduct a rigorous and fair evaluation based on internationally recognized, outstanding research achievement and contribution to the development of Social Data Science; upon passing, the candidate will move to an indefinite-term appointment (as Professor or Associate Professor).
Probationary period: Probationary period present
Probationary period description: Trial period 6 months
Established Researcher (R3)
Annual salary: 5 million yen - 7 million yen
Wages description: 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
Contract period: Nontenured-Tenure-track
Contract period description: • (tenure-track): fixed term (initial appointment period of 5 years). • Extension of term: based on a performance review, the term may be extended (reappointed) once, for up to 2 years. • Tenure review: the candidate may request a tenure review (once only) from the Dean no later than 5 months before the end of the tenure-track period. A review committee will conduct a rigorous and fair evaluation based on internationally recognized, outstanding research achievement and contribution to the development of Social Data Science; upon passing, the candidate will move to an indefinite-term appointment (as Associate Professor).
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