"Assistant/Associate/Full Professor in Data Science, Computer Science, AI, and Discrete Mathematics/Optimization"

The position:

Qualified candidates are sought for a position, with concentration areas as follows.

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.

Starting date:

April 1, 2026 or September 1, 2026

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 September 2026 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.

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.

Salary/Compensation/Research Support:

A competitive salary is offered. Remuneration package includes health insurance, pension, commuting allowance, annual research fund and individual research office.

Application Package:

The evaluation of applicants will start in the middle of November 2025, 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. Full text of three research achievements (i.e. Journal, publication, etc.)
6. Copy of diploma or transcript showing proof of Ph.D. or enrollment in a Ph.D. program.

Please register your information and all materials on the Google form below.

https://forms.gle/e6Vj8AUK4dC3Q3ZH7

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