Laboratory

Large-Scale Parallel Numerical Computing Technology Research Team
RIKEN Center for Computational Science
(Team Leader: Toshiyuki Imamura)

Research field

The RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes “science of computing, by computing, and for computing.” R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its “core competence in computational science driving science as a whole.” R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS is utilizing its expertise to operate the supercomputer “Fugaku” which was developed as a national project in accordance with Japanese laws and regulations.

Our research team has been researching and developing advanced numerical algorithms to achieve high efficiency and accuracy while maximizing hardware capabilities in the evolving computing environment of the K computer and the supercomputer Fugaku, and so forth.

Job title and job descriptions

Job title

Postdoctoral Researcher: 1 position

Job description

We are seeking a person who can perform the following tasks for the core numerical algorithms and software in diverse high-performance computing areas that will drive the next generation of computational science. Please indicate which numerical algorithm(s) you wish to apply for.

• 1.R&D on innovative numerical algorithms, especially those willing to explore new areas such as space-time integrated numerical schemes to solve PDEs, Parallel in Time integration techniques, tensor decomposition, multi-grid preprocessing, numerical algorithms on Quantum+classical hybrid-type computers, etc. are welcome.
• 2.R&D on numerical library implementation in Fugaku and next-generation computing systems in general.

Qualifications

Applicants must have a doctoral degree in a related field or expect to receive a doctoral degree before the date of appointment. In general, those who earned a doctorate within the past 5 years will be appointed as Postdoctoral Researcher. Those with considerable experience in numerical linear algebra or parallel computing are highly evaluated. The candidate should also have good computer programming experience using C, C++, or Fortran. It is preferable to have the experience of parallel programming/tuning using MPI or OpenMP. Communication in English (or Japanese) is required.

Work location

Branch and address

RIKEN Center for Computational Science
7-1-26, Minatojima-minamimachi, Chuo-ku, Kobe, 650-0047, JAPAN

RIKEN has implemented a work-from-home system. Employees can work from home in accordance with the prescribed procedures.

Salary and benefits

• 1.One-year fixed-term employment contract, renewable based on evaluation, up to five years 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.

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 290,200 JPY for Postdoctoral Researcher as of April 1, 2022. The monthly base salary and variable salary are subject to change due to amendments to RIKEN regulations.
Discretionary work, 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 including discretionary work allowance at the time of employment will be more than 390,000 JPY for Postdoctoral Researcher.
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.
Paid leave includes annual paid leave (up to 20 days per year depending on the month of employment), special paid leave (childcare, family nursing care, etc.), and work-life balance holidays (up to 7 days per year depending on the month of employment).
There are also additional leave systems such as maternity leave, childcare leave, and family nursing care leave.
No smoking on site.
These and other provisions are in accordance with RIKEN regulations.

The Kobe Branch has an on-site daycare, Po-I Kids Kobe.
For details, please send an email to the HR at kobe-kosei [at] 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).

Application and required documents

Required documents

Please prepare the following documents in English.

• 1.CV
  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. List of external funds acquired, awards received, and other achievements including, contributions to university/institution operations, contribution to society through activities in academic societies, joint research projects, technology transfers, etc.
• 5. 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.
• 6. Recommendation letters in English from one or two persons who can evaluate your work
  • *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 letters should be addressed to R-CCS Director. Digital signature image can be embedded in the recommendation letters within the PDF file. Or please specify the referee’s contact information (name, affiliation, job title, phone number, and email address) in the letter.
• 7. 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

How to apply

Combine the above documents into a single PDF file and upload them to the following website:
Applications for R-CCS Large-scale Parallel Numerical Computing Technology Research Team

The file name of the PDF should contain the job ad number “R-CCS2212, Large-scale Numrallel Numerical Computing Technology Research Team” and the applicant’s name. Please write the name of the position that you apply for in the “Add additional information” box.
After you uploaded the PDF file, please let us (kobe-jobs[at]riken.jp) know the file name of the uploaded file. When you send us an email, please write your name, Job Ad number (R-CCS2212) and the name of the position that you apply for.

If the recommendation letter is directly submitted from the referees, please send it to (kobe-jobs [at] riken.jp) by attaching it to the email. Please write "R-CCS Large-scalel Parallel Numerical Computing Technology Research Team, Postdoctoral Researcher, [applicant’s name] (Recommendation letter)” in the subject line and specify the applicant's name, referee's name and contact information in the email.

If a confirmation email is not received within 7 days after submission, please contact: kobe-jobs [at] riken.jp

Deadline

Applications will be accepted until the final candidate is found.

Handling Personal Data

Submitted documents are strictly protected under the RIKEN Privacy Policy and will be used only for the purpose of applicant screening. Personal information will not be disclosed, transferred or loaned to a third party under any circumstances without just cause.

Selection process

Applications will be reviewed upon receipt, and interviews will be conducted for selected applicants (one interview for Postdoctoral Researcher position.) No inquiries on the selection process and results will be answered.

Start of employment

At the earliest possible time (negotiable).

Notes

Application files will not be returned.

Contact Information

For inquiries on research conducted by the team, please contact the Team Leader by email:

Toshiyuki Imamura
Large-scale Parallel Numerical Computing Technology Research Team
RIKEN Center for Computational Science
Email: imamura.toshiyuki [at] riken.jp

Note

Updated as of May. 23, 2023:　"Work location" and "Salary and benefits"