Seeking a Research Scientist or Postdoctoral Researcher (R-CCS2030)
Pioneering Project (FY2020-FY2024)
RIKEN started a new pioneering project titled “Prediction for Science” in April 2020 for 5 years. The researcher under this call will be based in Computational Climate Science Research Team at Kobe, to work together with various laboratories in theory and applications and will bring synergy and fusion among different areas, so that we pioneer a general theory of prediction, the first step toward the whole new world of “Prediction Science”. To achieve the ambitious goal, the researcher under this call is able to spend an extended period for several months or longer in some of the participating laboratories as shown below and to work on the synergy and fusion among theory.
List of participating laboratories:
- Prediction Science Laboratory, RIKEN Cluster for Pioneering Research/Data Assimilation Research Team, RIKEN Center for Computational Science (Kobe)
- RIKEN Interdisciplinary Theoretical and Mathematical Sciences Program (Wako)
- Disaster Resilience Science Team, RIKEN Center for Advanced Intelligence Project (Tokyo)
- Environmental Metabolic Analysis Research Team, RIKEN Center for Sustainable Resource Science (Yokohama)
- Computational Climate Science Research Team, RIKEN Center for Computational Science (Kobe)
- Health Data Deep Learning Team, Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters (Tokyo)
- Health Data Mathematical Reasoning Team, Advanced Data Science Project, RIKEN Information R&D and Strategy Headquarters (Yokohama)
- Laboratory for Physical Biology, RIKEN Center for Biosystems Dynamics Research (Kobe)
RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international research center in high performance computing and computational science in Japan. Our objectives are to investigate “the Science of (high performance) computing, by computing, and for computing”, to research and develop our technologies (R-CCS technology) and software (R-CCS software), which we consider our core competence, in order to produce world-leading scientific and engineering results for use in Japan as well as globally.
Also, R-CCS started operating Japan’s national flagship supercomputer Fugaku, as a shared national facility to support a wide range of research activities since 2021.
Our laboratory is developing a model library that is the basis of meteorological and climate models in collaboration with Mathematical Climatology Laboratory in Cluster for Pioneer Research. With the advent of large-scale computers such as K Computer, it has become possible to simulate the global atmosphere using a cloud-resolving model with a grid-sized of less than 1 km. On the other hand, the global cloud-resolving model cannot directly calculate phenomena smaller than the grid size, though they affect atmospheric motion and cloud formation. In order to reduce the uncertainty of the calculation results associated with this problem, we have to sophisticate models further. In the future, it is expected that the uncertainty due to the difference in modeling will be reduced by converging to a global eddy-resolving model, which is based on a more reliable guiding principle. However, there is still a long way to go. We must overcome the following issues: Development of new models of phenomena in the actual atmosphere and ocean and their computational schemes, development of fast computational algorithms, development of post-processing libraries for analysis of large-scale computations, and so on. To achieve them, we are starting to develop a new method of modeling that incorporates data science. At the same time, by large-scale numerical experiments using these models on Fugaku, we are tackling multiple scientific tasks such as the research for the hierarchical structure of clouds and climatological multiple equilibrium solutions under ideal conditions, and regional climate research for actual phenomena.
Job title and Job description
Research Scientist or Postdoctoral Researcher: 1 position
So far, meteorological and climate models have been built primarily by a deductive approach. In this project, in addition to this method, we will infer the guiding principle of the model by an inductive approach that makes full use of data science based on a large amount of observation and calculation data. In this way, we will seek new meteorological and climate modeling methods by integrating the two ways. Through this research, we will work closely with RIKEN's internal and external partners, including other fields. Finally, we will combine computational science as the third paradigm and data science as the fourth paradigm, and aim to establish "Prediction Science" as the fifth paradigm. In order to demonstrate the effectiveness of the new modeling technology, we aim to understand the mechanism of climate phenomena by making full use of large-scale computers. One of our major goals is to expand the results obtained from new modeling methods to fields other than meteorology and climatology.
- Carry out the research and development for the above issue.
- Postdoctoral Researcher
- Under the guidance of senior researchers, carry out the research and development for the above issue.
Applicants who engaged in the field related to “Prediction Science” must have a Ph.D. or expect to receive a Ph.D. before the date of appointment.
- Research Scientist
- Basically defined as those with a doctoral degree more than 5 years.
- Postdoctoral Researcher
- Basically defined as those with a doctoral degree of 5 years or less.
Communication skills are essential; collaborating with other researchers from various scientific fields inside/ outside the institution is required. Candidates with great enthusiasm and interests in the research field mentioned above are welcomed.
The followings are mandatory
- Experience in developing or refining the numerical climate models.
- Expertise in mathematical/ statistical analysis or data science.
- Ability to translate the analysis results into comprehensible expressions.
In general, those who earned a doctorate within the past 5 years will be appointed as Postdoctoral Researchers, and those who earned a doctorate more than 5 years ago will be appointed as Research Scientists.
Branch and address
RIKEN Center for Computational Science
7-1-26, Minatojima-minamimachi, Chuo-ku, Kobe, 650-0047, JAPAN
Salary and benefits
- 1.One-year fixed-term employment contract, renewable based on evaluation, up to the end of March 2025 since the initial date of hire.
- 2.RIKEN may adjust the above maximum period of renewability based on a) the employee’s abilities, work load 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 65 years
- 3.The employee’s period of fixed-term employment cannot exceed 10 years from the initial date of hire (or 10 years from April 1, 2013 for fixed-term employees already at RIKEN prior to this date).
In principle, the first two months of employment is considered a trial period.
Salary will be commensurate with qualifications and experience. Commuting and housing allowances will be provided. Social insurance will be applied. Mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai).
This position falls under the specialized duties discretionary work system; one working day will be calculated as 7 hours and 30 minutes.
Days off include public holidays, New Year's holidays (Dec. 29 - Jan 3), and RIKEN Foundation Day.
RIKEN has introduced telework as a temporary and special measure to prevent the spread of COVID-19. You may be asked to work from home according to the instructions of the institute. You can also choose to work from home with the permission of your supervisor.
No smoking on site (designated smoking areas available).
These and other provisions are in accordance with RIKEN regulations.
RIKEN is promoting a Gender Equality Program by taking various measures to create a workplace where both men and women are able to give full rein to their talents and abilities. When applicants are judged to be equally qualified on the basis of fair and impartial criteria, women applicants will be given preference.
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).
Application and required documents
Applications are accepted by email only. However, when the application documents are too large to submit by email, it is recommended to employ file transfer services on the internet. Before submitting the applications, make sure the documents are encrypted and send us the password information separately. Upon receipt, we will check whether all the required documents are included and send an acknowledgement of receipt. If you do not receive the acknowledgement email, please contact us at the email address in “Contact information” below.
Please prepare the following documents in English.
No format specified. Please make sure to include applicant’s name, date of birth, nationality, academic background, work history including the applicant’s current affiliation, and email address.
- 2.List of research achievements
Include not only peer-reviewed papers but also awards and competitive funds received, achievements in research while working in the private sectors. Also include quantitative evaluation indexes such as the Google Scholar citation index as much as possible.
- 3.Copies of up to five most important publications (Please mark the papers on the list of publications.)
When the original publications are not in PDF format, scan the papers and save them as PDF documents prior to submission.
- 4.Description of previous research, future research plans, and career goals: No format specified, approximately three to four A4 pages in total. It is desirable that a diagram describing the research is provided.
- 5.Recommendation letter(s) (in English) from one or two individual(s) with their signatures One recommendation letter should be written by the applicant’s current supervisor. When it is difficult to do so, a recommendation letter written by a third party may be accepted. The letter should be addressed to RIKEN R-CCS Director. Digital signature image should be embedded in the recommendation letters within the PDF file.
- 6.Consent form for handling personal information based on GDPR
If you are a resident of the European Economic Area (EEA), you are required to submit the document, "Consent form for handling personal information based on GDPR" with your signature.
*You will find detailed information about General Data Protection Regulation (GDPR) on the following website:
Data protection | European Commission
Applications will be accepted until the positions are filled.
Handling Personal Data
Applications will be reviewed upon receipt, and interviews will be conducted for selected applicants (2 interviews for Research Scientist position and one interview for Postdoctoral Researcher position.) No inquiries on the selection process and results will be answered.
Start of Employment
June 1, 2021 or later, at the earliest opportunity
Application files will not be returned.
Updated as of Apr 7, 2021: "Job title" and "List of participating laboratories"
Contact Information / Send application to
Combine all the application documents into a single PDF document and submit to the email address below.
Email: kobe-jobs [at] riken.jp
Please use the subject line “[R-CCS2030] R-CCS Computational Climate Science Research Team – (name of the position, e.g. Research Scientist)” when applying.
For inquiries on research conducted by the team, please contact the Team Leader by email:
Computational Climate Science Research Team
RIKEN Center for Computational Science
Email: htomita [at] riken.jp