Seeking a Research Scientist (26-1699)

Research Scientist

The RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, are threefold, centered around supercomputing: one is to target high performance computation itself as a scientific objective, or namely, the “Science of Computing”; another is to apply the enormous computational power thus obtained to solve difficult scientific problems, or namely the “Science by Computing”; finally, to collaborate with other scientific disciplines that contribute to advances in both sciences, or namely, the “Science for Computing.” Our goal is to be recognized as one of the global leadership research centers to advance high-end computational science in this regard.

The Large-Scale Parallel Numerical Computing Technology Research Team is recruiting a research employee to carry out a new theme. The research overview of the laboratory is shown below.

With a view toward the evolving computing landscape—from the K computer to Fugaku and, ultimately, FugakuNEXT—the laboratory conducts research on advanced numerical algorithms and develops software libraries that achieve both high computational efficiency and numerical accuracy while maximizing hardware performance. In recent years, we have advanced research with wide-ranging implications for high-performance computing (HPC), including the development of methods that harness low-precision arithmetic to achieve high-accuracy computations and active engagement in the co-design of algorithms and hardware architectures.

We invite applications from candidates capable of pursuing research and development in both of the following areas, focusing on core numerical algorithms and software for a broad range of high-performance computing domains that will drive the next generation of computational science.

• Development of eigensolver software for emerging computing environments The successful candidate will contribute to the modernization and further advancement of EigenExa, a high-performance eigensolver library.
• Research on highly reliable numerical linear algebra based on reproducible computing technologies The successful candidate will conduct research toward achieving the highest levels of computational reproducibility by leveraging techniques such as verified numerical computation and error-free computation. Particular emphasis will be placed on highly reliable numerical linear algebra based on matrix multiplication using the Ozaki scheme, encompassing theoretical foundations, implementation optimization, and practical applications.

Both research areas are closely related to the investigation, research, and development of numerical library implementations for FugakuNEXT and subsequent generations of supercomputers in Japan and abroad. We particularly welcome applications from candidates with a strong interest in the development of future computing hardware.

A person who is able to dedicate themselves to the job by communicating, coordinating and collaborating smoothly with people in and out of the laboratory. A PhD holder in the area related to the Job description. Candidates must possess knowledge of numerical linear algebra, numerical error analysis, and verified numerical computation. A fundamental background in computer science is also desirable, including knowledge of and experience in programming with C/C++ and parallel programming using MPI, OpenMP, or other parallel programming models and languages. Proficiency in English communication is also required.

RIKEN Kobe Campus – South 7-1-26, Minatojima-minamimachi, Chuo-ku, Kobe, Hyogo 650-0047, JAPAN RIKEN may order the employee to change work locations, if necessary, in accordance with RIKEN regulation.

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. Discretionary work, commuting and housing allowances will be provided. Social insurance will be applied.

The approximate amount of salary at the time of employment: The total amount of monthly discretionary work allowance and monthly salary at the time of hiring will be 560,000 JPY or more.

RIKEN has implemented a telecommuting system that allows employees to work from home or other locations permitted by RIKEN.

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 Saturdays and Sundays, 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 (caring for a sick child, 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.

Mandatory membership in the RIKEN Mutual Benefit Society (RIKEN Kyosaikai).

• * Eligible to apply for the MEXT Grants-in-Aid for Scientific Research ( Kakenhi ).
• * 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.
• * The Kobe Campus has an on-site daycare, Po-I Kids Kobe . For details, please send an email to kobe-kosei@ml.riken.jp.

Please prepare the following documents in English. Only the letter of recommendation may be either in English or in Japanese.

• 1. CV or CV
• * Email address, Application Number [26-1699] and position to apply (Research Scientist) are required.
• * Format is free. Or the format attached is available.
• 2. List of research achievements (including ResearcherID or Google Scholar ID, if available) Include not only peer-reviewed papers but also a list of patents, a list of invited lectures. Also include quantitative measures for evaluation such as the Google Scholar citation index, whenever 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 competitive 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 development, future research development plans, and career goals: No format specified, approximately three to four A4 pages in total. It is desirable that a diagram describing the research development is provided.
• 6. At least one letter of recommendation from a person who can evaluate your work
• * In principle, the letter of recommendation should be from the applicant's current supervisor. When it is difficult to do so, a letter of recommendation written by a third party may be accepted. If your current affiliation is the laboratory you apply for, the referee should be a person who does not belong to the laboratory you apply for including the supervisor.
• * The letter of recommendation must be sent directly by the referees.
• * The letter of recommendation should be addressed to R-CCS Director. Digital signature image can be embedded in the letter of recommendation within the PDF file. Or please specify the referee's contact information (name, affiliation, job title, phone number, and email address) in the letter. Please make sure to write the date.
• 7. Agreement on handling of personal information (Handling of personal information based on the Hiring Privacy Policy and the Privacy Policy) Please review the following web page before submitting the consent form.:
• * Hiring Privacy Policy
• * Privacy Policy

Combine the above documents except the letter of recommendation into a single PDF file and upload them to the following link: Applications for R-CCS Large-Scale Parallel Numerical Computing Technology Research Team

• The file name of the PDF should contain the job ad number “26-1699, R-CCS Large-Scale Parallel Numerical Computing Technology Research Team” and the applicant's name.
• Please write the job ad number and the name of the position that you apply for if there is an “Add additional information” box on the website.
• After you uploaded the PDF file, please let us (r-ccs-recruit@ml.riken.jp) know the file name of the uploaded file.
• When you send us an email, please write your name, Job Ad number and the name of the position that you apply for.

The letter of recommendation must be directly submitted from the referees to the link mentioned above with the subject line “Letter of recommendation for [applicant's name], [name of the position], R-CCS Large-Scale Parallel Numerical Computing Technology Research Team”. Please tell them to email us (r-ccs-recruit@ml.riken.jp) that they have uploaded the PDF file and to specify the applicant's name, referee's name and contact information in the body of

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