Work location : Kanto district - Tokyo | Kanto district - Kanagawa
Date of publication : 2023/11/01
D123110071
Tokyo Institute of Technology
Research field : Life Science - System genome science | Informatics - Life, health and medical informatics | Life Science - Biophysics | Life Science - Genome biology
Professor level : Regular employee - Tenured - Non-tenure track - Probationary period present
Job description
Background of the recruitment and description of the project
Computational Biology (Bioinformatics (including protein structure analysis, genome analysis, etc.), systems biology, cheminformatics, image analysis, medical statistics, etc. based on data science analysis)
Work content and job description
* 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.
* 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 of institute, school, department, etc.
Assigned department
Existing departments
School of Life Science and Technology
Job type
Research field
Wages
Annual Salary : 8 million yen ~
Annual salary examples (The amounts listed below are only examples provided in the regulations and do not relate to this position.)
*The minimum and maximum amounts will vary depending on performance.
Working hours
Working hours :08:30-17:15
Break time :12:15-13:15
Overtime and other explanations : De facto working hours* under the discretionary labor system for professional work: 7 hours 45 minutes per day (38 hours 45 minutes per week) *Hours considered as working hours
Application requirements
Qualifications
Education and Degree Requirements
Ph.D. / Doctor
Work experience
* The successful applicant should have a PhD or a doctoral degree.
* The successful applicant should have sufficient knowledge of the fundamentals of data science and AI and be able to play a central role in the education of this field at the School of Life Science and Technology.
* The successful applicant should have world-class research achievements in the area of specialization.
* The successful applicant should have the ability and willingness to lead the above-mentioned 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 Science and Technology.
* The successful applicant should be highly motivated, willing to participate in the organization management of the School of Life Science and Technology.
Employment Type
Regular employee
Contract period
Tenured - Non-tenure track
Probationary period present
Trial period 6 months
Work location
Compensation
Insurance
Employees' Health Insurance : available
Employees' Pension Insurance : available
Worker's accident insurance : available
Employment insurance : available
Measures for preventing passive smoking at the workplace
Smoking is prohibited on campus (excluding designated outdoor smoking areas).
Supplementary explanation of compensation
1.Application documents will not be returned. The personal information provided in the submitted documents will be used solely for recruitment and not for any other purpose, pursuant to the Institute’s applicable rules and regulations.
2.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.
Application Considerations
Number of hired
1 person(s)
Hiring date : 2024/04/01
Starting date : 2024/04/01
Application period
2023/11/01~2023/11/30 Deadline for receipt
Applications will be closed as soon as a suitable candidate is hired.
Application method
Attached documents
Other online application forms
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 database used. The following Excel file should be filled out and submitted with other documents. http://www.bio.titech.ac.jp/outline/disclosure/koubo/applicant_data03.xlsx
2.Curriculum vitae (with photograph, telephone number, and e-mail and mailing address) 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 (peer-reviewed 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 be numbered 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, and computational 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 portal Web.
* Out of application period.
URL of this job posting
Selection / Notification of result
Selection
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 on Zoom. Travel expense will not be paid.
Notification of result
Applicants will be notified by e-mail after the decision is made.
Contact details
Tokyo Institute of Technology
Department of Life Science and Technology
Itoh, Takehiko
0357343430
takehiko@bio.titech.ac.jp
Notes