Seeking a Director of the AI for Science Platform Division (K24061) Full-time

Director of the AI for Science Platform Division

The Director of the AI for Science Platform Division is responsible for overseeing the division's activities aimed at promoting AI for science and science by AI and creating new scientific fields, with the goal of establishing the division as a hub for these efforts. This includes leading the activities related to the construction of the AI for Science platform, centered on the “Computational Infrastructure Development Project” within TRIP-AGIS. The detailed description is below.

• R&D
• Management (budget, status management, public relations, hiring/human resources, etc.)
• Domestic and international collaboration and coordination of the division
• Other matters necessary for the operation of the division

The job description may be changed during the contract period or upon contract renewal to the extent described above.

Applicants must have a PhD degree and be able to demonstrate sufficient abilities in leading the AI for Science Platform Division in a research management role. The applicants must also be willing to work on R&D and its dissemination/development with the aim of realizing AI for Science research from a long-term perspective, through collaboration between various scientific research and computational science and computer science.

In particular, the applicants must have a strong ability to lead the related research field described above internationally with no requirements in nationality and must have an outstanding sense of cooperation and the management and communication skills that are necessary to perform work.

RIKEN Center for Computational Science (South Area, Kobe Campus), 7-1-26, Minatojima-minamimachi, Chuo-ku, Kobe, 650-0047 JAPAN or RIKEN Center for Computational Science (Tokyo Campus – Nihonbashi) Nihonbashi 1-chome Mitsui Building, 15th floor 1-4-1 Nihonbashi, Chuo-ku, Tokyo, 103-0027, JAPAN

Work location will be arranged depending on the actual duty to be performed.

RIKEN has implemented a work-from-home system. Employees can work from home in accordance with the prescribed procedures. Employees may be transferred to other locations when necessary to perform duties, in accordance with relevant regulations.

• One-year fixed-term employment contract, renewable based on evaluation, up to seven years since the initial date of hire, but not beyond the end of March 2032 depending on the employment start date.
• RIKEN may adjust the above maximum period of renewability based on a) the employee's abilities, workload at the time of contract completion, performance and work attitude and b) the continuation of the employee's center, laboratory or project and RIKEN's management situation and budget at the time. In principle, employment contracts will not be renewed for individuals older than 70 years.

RIKEN has indefinite-term positions. Any scientists, including fixed-term employees who have been hired through this open call, are eligible to apply to open calls for indefinite-term positions.

In principle, the first two months of employment is considered a trial period. Salary will be an annual salary based on experience, ability, and performance, and will consist of a base salary and a variable salary. The variable salary will be determined each fiscal year based on experience, ability, and performance. The monthly base salary is 744,300JPY. The monthly base salary and variable salary are subject to change due to amendments to RIKEN regulations. Commuting and housing allowances will be provided. Social insurance will be applied. The approximate amount of annual salary at the time of employment: The monthly salary at the time of employment will be more than 744,300JPY. The monthly salary at the time of employment for a candidate with 20 years of experience, ability, and achievement after completion of the doctoral course will be approximately 940,000 JPY.

Mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai). Work hours: 9:00 to 17:20 (lunch break 12:00 to 12:50). However, the employee may change starting and finishing times at their own discretion if it does not interfere with work performance. Days off include public holidays, New Year's holidays (Dec. 29 – Jan 3), and RIKEN Foundation Day. Paid leave includes annual paid leave (up to 20 days depending on the month of employment), special paid leave (childcare, family nursing care, etc.), and work life balance holidays (up to 7 days depending on the month of employment). There are also additional leave systems such as maternity leave, childcare leave, and family nursing care leave. Smoking is entirely prohibited on site. These and other provisions are in accordance with RIKEN regulations.

The Kobe Campus has an on-site daycare, Po-I Kids Kobe. For details, please send an email to the General Administrative Section at kobe-kosei@riken.jp.

RIKEN is actively undertaking initiatives to promote gender equality and diversity, and moving forward with the establishment of a diverse and vibrant research environment. If multiple candidates are found to have the same aptitude following a fair assessment, active efforts will be made to recruit female candidates.

Also, eligible for an exemption from repayment for category 1 scholarship loans provided by the Japan Student Services Organization before fiscal year 2003, and eligible applying for the MEXT Grants-in-Aid for Scientific Research (Kakenhi).

Please prepare the following documents in English (Only recommendation letters may be either in English or in Japanese).

Documents to be submitted

• CV There is no format specified for the CV, but it must include the following information: name, nationality, date of birth, educational background and employment history, including current affiliation and address of affiliation, and the applicant's email address to be used for contact information.
• Work experience Specify if you have any experience being responsible for overseeing scientific research projects that use simulation and AI in specific scientific fields, including life science and materials science, or overseeing operation of supercomputers or large-scale data centers, software development, etc.
• Employment history and R&D achievements Please give an outline of your employment history. If you have experience with R&D, please attach a list of publications (divided into sections for original papers, reviews, and others), patents, invited talks, etc. Please include a description of an evaluation barometer that is as quantitative as possible (e.g. citations by GoogleScholar.). When submitting lists of publications, please attach reprints or photocopies of the main publications (maximum of 5 and mark achievements in the list). If the original papers are not in PDF format, please scan them into PDF format and send them to us.
• List of competitive funds acquired, awards received, and other achievements Include contributions to university/institution operations, contributions to society through activities in academic societies, joint research projects, technology transfers, etc.
• Your future research plan and ideas on operations and human resources for the Division (limited to three pages on A4 size paper)
• Recommendation letters from two persons who can evaluate your work
  • One recommendation letter should be written by the applicant's current supervisor. If this is difficult to provide, a recommendation letter written by a third party may be accepted.
  • If the applicant currently works for RIKEN, a recommendation letter should be written by a person outside of RIKEN.
  • Both recommendation letters should not come from the same institution.

Consent form for handling personal information based on GDPR

• If you are a resident of the European Economic Area (EEA) or UK, you are required to submit the document, “Consent form for handling personal information based on GDPR and Regulation of the European Parliament and of the council of on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (UK General Data Protection Regulation)” with your signature.
• You will find detailed information about General Data Protection Regulation (GDPR) on the following website: Data protection | European Commission
• You will find detailed information about Regulation of the European Parliament and of the council of on the protection of natural persons with regard to the processing of personal data and on the free movement of such data (UK GDPR) on the following website: Data Protection and the EU | Information Commissioner's Office

How to apply

• Combine the above documents except the recommendation letters into a single PDF file and upload the file to the following link: K24061_Applications for Director of AI for Science Platform Div.
• The file name of the PDF should contain the job ad number “K24