Detailed information
Work location : Tohoku district - Miyagi
Date of publication : 2024/05/28
Recruitment notice: Professor , Center for Data-Driven Science & AI , Tohoku University
D124051850
Tohoku University
Research field : Informatics - Intelligent informatics | Informatics - Perceptual information processing | Informatics - Human interface and interaction
Professor level : Regular employee - Tenured - Non-tenure track - Probationary period present
Job description
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Background of the recruitment and description of the project
With the rapid advancement of digital technology, Tohoku University's Center for Data-Driven Science & AI is at the forefront of enhancing and proliferating educational research in Mathematics, Data Science, and Artificial Intelligence (AIMD). In our quest for excellence and innovation, we invite applications for a Professorship to enrich and expand our educational and research programs.
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Work content and job description
1.Develop and teach AI literacy within our comprehensive curriculum.
2.Craft and manage the AI education learning environment for the university.
3.Foster collaboration and dissemination of AIMD via the Mathematical and Data Science & AI Education Enhancement Consortium.
4.Contribute to graduate courses and mentorship of thesis projects. -
Assigned department
Existing departments
AI Education and Research Division, Center for Data-Driven Science & Artificial Intelligence, Tohoku University
Job type
- Professor level
Research field
- Informatics - Intelligent informatics
- Informatics - Perceptual information processing
- Informatics - Human interface and interaction
Wages
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Annual Salary : 8 million yen ~
Salary shall be determined in accordance with the staff salary regulations, taking into consideration the academic background, licenses and qualifications, work experience, etc., and balance with other staff members.
Working hours
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Working hours :00:00-00:00
Break time :00:00-00:00
Holidays : Saturdays and Sundays, holidays provided for in the National Holidays Act and the period of days from December 29 to January 3 of the following year
Overtime and other explanations : Discretionary Labor System: As a basis, starting time (8:30) to ending time (17:15), but left up to the discretion of each employee.
(Deemed working hours: 7.75 hours/day)
Additionally, according to what is set forth in Article 34 of the Labor Standards Act, each employee should take break time.
Application requirements
Qualifications
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Education and Degree Requirements
Ph.D. / Doctor
A doctoral degree is required.
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Work experience
・A substantial record of fundamental research in Information Science related to AI.
・Experience in teaching Information Science and supervision of graduate theses. -
Description
Proficiency in both Japanese and English is essential; nationality is not a criterion.
Employment Type
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Regular employee
Contract period
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Tenured - Non-tenure track
Probationary period present
Trial period 6 months
Work location
- 980-8576 Miyagi Center for Data-Driven Science & Artificial Intelligence, Tohoku University, 41 Kawauchi, Aoba Ward, Sendai City, Miyagi Prefecture
Compensation
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Various systems
Pay increase system : Yes
Bonus : Yes
Retirement allowances : Yes
Transportation expenses : Yes
Retirement age : Yes
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Insurance
Worker's accident insurance : Yes
Employment insurance : Yes
Others : Joining Ministry of Education, Culture, Sports, Science and Technology Mutual Aid Association [Short-term benefits (medical insurance, etc.) and Long-term benefits (pension insurance)]
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Measures for preventing passive smoking at the workplace
No smoking on campus
Application Considerations
Number of hired
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Job content supplemental explanation
Start Date: On or after January 1, 2025. Negotiable.
1 person(s)
Hiring date : 2025/01/01
Starting date : 2025/01/01
Application period
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2024/05/28~2024/08/30 Deadline for receipt
Application method
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Attached documents
Application Form : Online SubmissionA curriculum vitae (CV) using the form provided at Tohoku University's official template（See recruitment guidelines）Achievements and Activities : Online SubmissionA comprehensive list of achievementsOther online application forms
Reprints of your five most significant research papers, an executive summary of your educational and research accomplishments (limited to a maximum of four A4-sized pages), a personal statement outlining your aspirations (within two A4-sized pages), and contact information for two references who can provide insights into your qualifications and character.
【Submit to:】
Academic Affairs Division, Education and Student Support Department,
Tohoku University
41 Kawauchi, Aoba Ward, Sendai City, Miyagi Prefecture, 980-8576, Japan
Phone: 022-795-7537
Email: cds-kobo*grp.tohoku.ac.jp (replace * with @)
Applications should be submitted electronically. Please send your documents as password-protected PDF files via email. The password for accessing the PDF files must be provided in a separate email for security purposes.
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* Out of application period.
URL of this job posting
Selection / Notification of result
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Selection
A document review and interview process will determine the appointment. Interviews may occur online if necessary.
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Notification of result
We will contact you by e-mail or other means.
Contact details
Tohoku University
Center for Data-Driven Science & AI Tohoku University
Yoshinori Hayakawa
0227957680
yoshinori.hayakawa.d4@tohoku.ac.jp
Notes
Tohoku University is an equal opportunity employer dedicated to diversity, equity, and inclusion (DEI). We strive to create a balanced workforce and encourage applications from all qualified individuals regardless of gender. In line with national policies, efforts are made to enhance the representation of women where their skills meet job requirements.
As part of our commitment to supporting our staff, Tohoku University provides access to extensive childcare facilities and is actively developing policies to support work-life balance, including paternity leave for male faculty members.
For more information about our DEI policies and work-life balance support, please visit our dedicated webpages.
