About the position
Tokyo International University:
Tokyo International University (TIU) offers undergraduate and graduate programs both in Japanese and English. The English track degree program, taught entirely in English, attracts students from Japan as well as from around the world. The curriculum of the E-Track Program enables students to cultivate a broad educational background and deepen their knowledge in three specialized programs of Digital Business & Innovation, Business Economics, and International Relations. In addition, we shall initiate a new undergraduate program of Data Science & AI starting in September 2026.
More details about TIU E-track program and its faculty members can be found here:
https://www.tiu.ac.jp/etrack/academics/dsai/
and
https://tiu-iis.org/members/
Work content and job description
Content of work including Teaching:
The teaching will be for undergraduate students, involving the preliminary, basic, and advanced materials. The primal teaching responsibility of this position is for Data Science & AI program, but the related teaching for the Digital Business & Innovation Program will be assigned if necessary.
TIU operates on a semester basis and each course lesson is held twice per week over the duration of 13 weeks per semester (each lesson lasts for 105 minutes); the successful candidate will be in charge of three courses per semester. The classes will take place on both Kawagoe Campus in Saitama and Ikebukuro Campus in Tokyo. It takes about an hour to move between the two campuses. The individual research office space will be assigned on Kawagoe Campus. Spring semester is from April to July, and Fall semester is from September to January.
Fluency in English is required, and knowledge of Japanese would be an asset. Responsibilities include advising and working with students from diverse backgrounds as well as undertaking quality research.
.
Starting date : 2027/04/01
Common to all Job Types
Annual Salary :
6 million yen
~
12 million yen
Work experience
The position:
We are seeking up to one candidate in the following specialized field:
Data Science, Computer Science, AI, and Discrete Mathematics/Optimization
Requirements: These positions are open for Assistant, Associate, or Full Professor level, depending on qualifications. The candidate must have a PhD in Computer Science/Artificial Intelligence/Discrete Mathematics/Statistics or related areas and be able to teach any course related to the concentration areas stated above. The courses offered include the subjects such as data structures and algorithms, system design, discrete mathematics and optimization, machine learning, natural language processing, generative AI, and AI engineering. Candidates must have some proven research record and/or practical experience.
Description
Starting date: April 1, 2027.
Candidates with a proven track record will have to provide evidence of recent and expected publications. Recent PhD graduates and ones expecting to graduate before April 2027 are encouraged to apply. Successful candidate will be offered either a tenured or tenure-track position depending on qualifications. The tenure-track system refers to a system under which a newly hired full-time faculty member transitions to tenure status after successfully completing a tenure track period and the tenure screening process within a maximum of five years.
Application Package:
The evaluation of applicants will start in the middle of September 2026, and applications will be accepted until the position is filled. Candidates should submit the following documents by Google Form.
1)Cover letter of application
2)Curriculum vitae (please also include your complete contact details and contact information of three references - references will not be contacted without first notifying the applicant.)
3)List of classes taught (including title of class, brief description of contents, level)
4)Course syllabi of related fields that have been taught at any higher educational institution
5)List of classes that can be taught related to this position
6)Full text of three research achievements (i.e. Journal, publication, etc.)
Common to all Job Types
Nontenured
-
Tenure-track
Supplementary explanation of compensation
Salary/Compensation/Research Support:
A competitive salary is offered. Remuneration package includes health insurance, pension, commuting allowance, annual research fund and individual research office.
A full-time faculty member's on-duty hours for teaching classes shall be in accordance with the schedule of the classes that the faculty member teaches.
The rest period of a full-time faculty member whose work duties are for 8 hours per day shall be 1 hour per day, including lunchtime
Holidays for full-time faculty members shall be as indicated on the University's academic-year calendar.
Job content supplemental explanation
Tokyo International University:
Tokyo International University (TIU) offers undergraduate and graduate programs both in Japanese and English. The English-Track degree program, taught entirely in English, attracts students from Japan as well as from around the world. The curriculum of the E-Track Program enables students to cultivate a broad educational background and deepen their knowledge in three specialized programs of Digital Business & Innovation, Business Economics, and International Relations. In addition, we shall initiate a new undergraduate program of Data Science & AI starting in September 2026.
How to Apply: Please apply via Google Forms.
https://forms.gle/9Dx1o9ba7nUhYCYU7
More details about TIU E-track program and its faculty members can be found here:
https://www.tiu.ac.jp/etrack/academics/dsai/
and
https://tiu-iis.org/members/
Attached documents
Other online application forms
>How to Apply: Please apply via Google Forms.
https://forms.gle/9Dx1o9ba7nUhYCYU7
Notification of result
Selection process:
Review of applications will be taken first, and only applicants deemed suitable will be contacted and invited for the interview (in person or via Zoom). Those applicants who are invited to the interview might be requested to submit the Letter of Recommendation by relevant institutions.
Contact details:
Human Resources Department, Tokyo International University Foundation
4-23-23, Takadanobaba, Shinjuku, Tokyo 169-0075
Email: saiyou@tiu.ac.jp
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