Job Posting Professor
Affiliation
Position Title
Number ofOpenings
Area ofSpecialization

School of Life Science and Technology
Professor
1Computational Biology (Bioinformatics (including protein structure analysis, genomeanalysis, etc.), systems biology, cheminformatics, image analysis, medical statistics, etc.
based on data science analysis)⚫

The successful applicant will be responsible for designing curricula and courses in
the fields of Data Science, AI-related research, and Computational Biology. The
applicant will also be required to carry out lectures / practices / practical training in
the above specialized fields for both undergraduate and graduate students.

Job Description ⚫

The successful applicant will be required to engage, instruct, and supervise
undergraduate and graduate student research.

⚫

The successful applicant will proceed the above specialized research as PI.

⚫

The successful applicant will work on operations necessary for the management ofinstitute, school, department, etc.

⚫

The successful applicant should have a PhD or a doctoral degree.

⚫

The successful applicant should have sufficient knowledge of the fundamentals ofdata science and AI and be able to play a central role in the education of this field atthe School of Life Science and Technology.

⚫

The successful applicant should have world-class research achievements in the areaof specialization.

Qualifications⚫

The successful applicant should have the ability and willingness to lead the abovementioned specialized fields, take leadership in Japan and overseas, and develop
original research.

⚫

The successful applicant should have sufficient educational experience in the above
specialized fields and can actively promote education at the School of Life Scienceand Technology.

⚫

The successful applicant should be highly motivated, willing to participate in theorganization management of the School of Life Science and Technology.

Location

Tokyo Institute of Technology (Ookayama campus; 2-12-1 Ookayama, Meguro, Tokyo,Japan, or Suzukakedai campus; 4259 Nagatsuta-cho, Midoriku, Yokohama, Japan)
De facto working hours* under the discretionary labor system for professional work:

Working Hours

7 hours 45 minutes per day (38 hours 45 minutes per week)*Hours considered as working hours

Term
Probationary
PeriodPermanent Position
The Institute has mandatory retirement, requiring employees to retire at age 65.
6 months
The successful candidate will be paid under the “Annual Salary System with Lump-Sum
Retirement Allowance” pursuant to the Institute’s Regulations on Wage and Salary for Staff
under Annual Salary System with Lump-Sum Retirement Allowance. In accordance withthe regulations, the amount of annual salary will be determined based on the standard level
for the first fiscal year of employment, and will be based on performance evaluations insubsequent years. A retirement allowance will be paid separately at the time of retirement.

Salary*●Annual salary examples (The amounts listed below are only examples provided in theregulations and do not relate to this position.)・Professor who has 15 years of work experience after completing a doctoral degree.
Standard: JPY 9,400,000
Minimum*: JPY 8,600,000
Maximum*: JPY 10,700,000*The minimum and maximum amounts will vary depending on performance.

Social Insurance
and OtherBenefits
Employer
Proposed Start
Date
Closing Date forApplication
Selection
Process

Employee’s pension, Mutual Aid Association short-term benefits (health insurance),
employment insurance, worker’s compensation Insurance.
President of National University Corporation Tokyo Institute of Technology
April 1, 2024 or the earliest possible date thereafterApplications must be received by October 31, 2023.
Selection will be based on a comprehensive review of applications and interviews. Selected
applicants may be asked to have an interview and/or give a presentation face-to-face or onZoom. Travel expense will not be paid.

1． Outline of research achievements containing (i) original papers (peer-reviewed
journal papers only), review articles, patents, acquired research funds, (ii) list of
high-impact journal names, and (iii) h-index of the applicant with Web of Science
RequiredDocuments

database used. The following Excel file should be filled out and submitted withother documents.
http://www.bio.titech.ac.jp/outline/disclosure/koubo/applicant_data03.xl
sx

2． Curriculum vitae (with photograph, telephone number, and e-mail and mailingaddress) including educational records, professional career records, activity records

in academic society and awards.

3． A list of research publications categorized into the following two types (peerreviewed original articles and review articles), books, patents and other papers. The
number of citations for each paper (based on the latest version of Web of Science[Journal Citation Report]) should be provided in the list.

All items should benumbered chronologically from the latest.

4． PDF files of five significant articles (original papers and/or review articles).
5． Brief statement of the applicant’s research interests, including their appealing points(~2 pages in A4-size sheet).

6． Perspectives for future researches (1 page in A4-size sheet).
7． Educational experiences in the field of data science, AI-related research, andcomputational biology and policy (2 page in A4-size sheet).

8． List of acquired research funds [including the names of the funds, project titles,amounts, periods of research, and allotted amounts (if not the principal researcher)]in the last decade.

9． Administrative contributions to the applicant’s faculty.
10． Activity in academic societies and other social activities.
11． Contact information of at least four reference persons (affiliation, telephone
number and e-mail address).
The required documents are archived as one file and must be submitted through JREC-IN
How to Submit

portal Web. We doan Applicationformats.

not accept submissions by e-mail or other digital

https://jrecin.jst.go.jp/seek/SeekJorDetail?id=D123091297&ln_jor=01&ln=1
e-mail： takehiko@bio.titech.ac.jp
Contacts

Professor Takehiko Itoh
School of Life Science and Technology, Tokyo Institute of Technology.
1.

Application documents will not be returned. The personal information provided in thesubmitted documents will be used solely for recruitment and not for any otherpurpose, pursuant to the Institute’s applicable rules and regulations.

2.
Other

Tokyo Institute of Technology, in order to ensure a diverse workforce, guarantees
equal opportunities for all individuals regardless of nationality or gender.

3.

School of Life Science and Technology provides start-up funding through an internal
support system, and successful applicants may have access to such a system.

4.

Smoking is prohibited on campus (excluding designated outdoor smoking areas).

5.

For more information, please refer to the following link.
http://www.hyoka.koho.titech.ac.jp/eprd/recently/koubo/koubo.php?lang=en