Work location : Hokuriku and Koshinetsu district - Ishikawa
Date of publication : 2025/03/31
D125031749
Kanazawa University
Research field : Informatics - Intelligent informatics | Informatics - Statistical science
Professor level : Regular employee - Tenured - Non-tenure track - Probationary period absent
Associate Professor : Regular employee - Tenured - Non-tenure track - Probationary period absent
Job description
Background of the recruitment and description of the project
Kanazawa university has been conducting research and education of network system technologies including artificial intelligence, big data, IoT and cyber-security, and also of quantum technologies in order to contribute to the realization of Society 5.0, which is a super-smart society envisaged by Japanese government. Faculty of Electrical, Information and Communication Engineering (EIC), Institute of Science and Engineering is the core organization to accelerate the effort. Among such technologies, artificial intelligence such as machine learning, statistical science, data mining and explainable AI has been considered as the core technologies of society 5.0 since the technologies will derive data-driven society. EIC invites applications for a professor or an associate professor position by excellent female researchers in the field of advanced artificial intelligence.
https://www.se.kanazawa-u.ac.jp/en/informationWork content and job description
Field of specification:
Advanced research area related to artificial intelligence such as machine learning, statistical science, data mining and explainable AI. The candidate conducts fundamental research on the advanced research area and its applications and proposes innovative artificial intelligence technologies and their applications to promote the social implementation of them. The candidate is expected to enthusiastically engage in research on the integration of quantum technology and artificial intelligence, e.g. applying quantum information processing to the candidate’s speciality, artificial intelligence.
The candidate will participate in a research project “Promotion of secure super-smart society (Society 5.0) through the integration of IoT, AI, and cyber security”, and will be expected to contribute to the goal of the research project by collaborating with other project members.
The candidate will also provide education and research instructions to students pursuing the electrical, information and communication engineering by joining the advanced information specialist training program conducted by Kanazawa University.
School and Division (Teaching responsibility):
1)Information and Communication Engineering Course, School of Electrical, Information and Communication Engineering, College of Science and Engineering
2)Division of Electrical, Information and Communication Engineering, Graduate School of Natural Science and Technology, and Division of Electrical Engineering and Computer Science, Graduate School of Natural Science and Technology
Subject responsible for:
Liberal Arts and Science.
Lecture and experiment on subjects associated with artificial intelligence, computer and programming for
undergraduate course and graduate course
Assigned department
Existing departments
Faculty of Electrical, Information and Communication Engineering, Institute of Science and Engineering
Job type
Research field
Wages
Professor level
Annual Salary : 7 million yen ~ 10 million yen
Compensation: Annual salary system is applied.
Associate Professor
Annual Salary : 5 million yen ~ 8 million yen
Compensation: Annual salary system is applied.
Working hours
Professor level
Working hours :08:30-17:00
Break time :12:00-12:45
Holidays : Saturday, Sunday, Year end (Dec. 29 - Jan. 3)
Overtime and other explanations : Deemed working hours: 7h 45min/day
Associate Professor
Working hours :08:30-17:00
Break time :12:00-12:45
Holidays : Saturday, Sunday, Year end (Dec. 29 - Jan. 3)
Overtime and other explanations : Deemed working hours: 7h 45min/day
Application requirements
Qualifications
Education and Degree Requirements
Ph.D. / Doctor
1)The candidate should be a female researcher with a doctoral degree.
2)The candidate should have enthusiasm for education and research and can actively work for the collaboration between industry and university.
3)The candidate should have outstanding research achievements in computer science, statistical science,
mathematics or other related fields underlying artificial intelligence and be competent in the industrial
application.
4)The candidate should have sufficient communication skills in English and Japanese.
*Under Article 8 of the Equal Employment Opportunity Law (Special Provisions of Measures Pertaining to Women Workers), in order to actively improve our considerably low percentage of women researchers, applicants are limited to female researchers.
Employment Type
Professor level
Regular employee
Full-time, Exemption
Associate Professor
Regular employee
Full-time, Exemption
Contract period
Professor level
Tenured - Non-tenure track
Probationary period absent
Associate Professor
Tenured - Non-tenure track
Probationary period absent
Work location
Compensation
Various systems
Pay increase system : available
Bonus : unavailable
Retirement allowances : available
Insurance
Employees' Health Insurance : available
Worker's accident insurance : available
Application Considerations
Considerations for conducting interviews (e.g., those who live far away, such as overseas)
For those living abroad or far distant domestic place, interview can be done online.
Number of hired
1 person(s)
Starting date : 2025/10/01
Job content supplemental explanation
An appointee is expected on duty on October 1st, 2025 or any early possible date afterwards
Application period
2025/03/31~2025/06/13 Deadline for receipt
Application method
Application documents (specified forms)
Attached documents
Other online application forms
* Applications should be sent with E-mail subject “Application to Faculty Position on Artificial Intelligence” and all documents should be attached as PDF file(s).
* The maximum size of one email is 10MB. If you need to send more than one email, please let us know.
* After receiving the file(s) by email, we will send you a receipt notification by email. If there is no notification of reception within 24 hours, the reception has not been completed. Please send file(s) again.
For the item 1) - 5) described below, please use the MS word format located at Job Posting URL.
Use separate sheets for other item 6) - 9) with free format.
1)Curriculum vitae,
Corresponding part in the format) I. Curriculum Vitae (Telephone number should be written below e-mail address.)
2)List of publications,
Corresponding part in the format) II. Research Performance 1.Research Papers – 6.Patents, etc., III. Research Activity, Educational Activity, and Conference and Social Activities 1.Research Activities (1) Number of research achievements
3) List of activities in academic society,
Corresponding part in the format) III. Research Activity, Educational Activity, and Conference and Social Activities 3.Academic Societies and Social Activities (within past 5 years)
4) List of research grants acquired,
Corresponding part in the format) IV. Grants
5) Aspirations for education and research
Corresponding part in the format) V. Aspirations for Education and Research (within one A4-size page)
6)Details of research and educational experiences (within one A4-size page) (In case of writing in English, the number of characters is not limited to 1,500 characters.),
7) Hard copies of the 3 to 5 most important papers,
8) Two referees (Name, affiliation, E-mail address and phone number)
9) Position the candidate would like to apply for (Professor or Associate Professor)
Return of application documents
We will dispose of all application documents responsibly.
URL of this job posting
Selection / Notification of result
Selection
After reviewing the submitted documents, shortlisted candidates will be requested to give presentation and take interview. In that case, travel expenses will not be covered.
Notification of result
The selection result will be notified directly to the applicant.
Contact details
Kanazawa University
Institute of Science and Engineering
Masahiro Mambo
mambo@ec.t.kanazawa-u.ac.jp
Notes