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Seeking a Senior Scientist, Research Scientist or Postdoctoral Researcher (K24074)

Laboratory

High Performance Big Data Research Team
RIKEN Center for Computational Science
(Team Leader: Kento Sato)

Outline of Laboratory

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 utilizes its expertise to operate the supercomputer “Fugaku”, developed as Japan’s national project, in accordance with relevant ordinances.

High Performance Big Data Research Team at RIKEN R-CCS researches and develops system software for large-scale HPC (High Performance Computing) systems such as the Supercomputer Fugaku. Especially, we study state-of-the-art techniques for convergence of HPC, AI and Big data technologies as well as fundamental R&D in HPC. To achieve the goal, we develop system software to accelerate deep learning and big data processing on large-scale HPC systems, i.e., (HPC for AI/BD). we also apply AI and Big data processing techniques to resolve several technical challenges in large-scale HPC systems. We also study techniques to design next-generation large-scale HPC systems. The research topics include (but not limited to):

  • 1.Scalability and acceleration of big data processing with massively parallel I/O by making use of next-generation storage and file systems
  • 2.Development of massively parallel algorithms and programming models for the next-generation non-volatile memory and deeply hierarchical memory/storage architectures.
  • 3.Research and development for big data collection, transfer, accumulation, management, and utilization for data science.
  • 4.Development of system software for integrating applications (Society 5.0 simulation as well as system operation), artificial intelligence training, and training data collection
  • 5.Scalability and acceleration of large-scale deep learning and inference
  • 6.Scalability and acceleration of high-reliability technologies such as checkpointing with large-scale I/O
  • 7.Architecture exploration for the development of next generation large-scale computers
  • 8.Development of tools to support application development and execution environments for large-scale computers
  • 9.Any other research and development related to high performance computing

For more information, please refer to the following website:
High Performance Big Data Research Team, Riken R-CCS

Job title and Job description

Job title

Senior Scientist, Research Scientist or Postdoctoral Researcher: One position

Job description

Primary focus will be on research and development of system software for advancing machine learning, deep learning and large scale I/O acceleration on large-scale systems. We are seeking for postdoctoral researchers and/or research scientists who can perform any of the duties in items 1-9 above, or across multiple items

Any changes in duties during the contract period or at the time of contract renewal will be within the scope of the above job description.

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, and those who earned a doctorate more than 5 years ago will be appointed as Research Scientist. Those with advanced research skills and achievements may be hired as Senior Scientist

Knowledge and experiences with programming in C/C++ and script languages (e.g., Python) in a Linux environment are required. Experience in parallel programming (MPI, OpenMP, other parallel programming languages) and research, development and performance analysis for scaling and accelerating large-scale I/O and AI frameworks is also desirable

Work location

RIKEN Center for Computational Science, High Performance Big Data Research Team (Kobe Campus – South)
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.
Employees may be transferred to other locations when necessary to perform duties, in accordance with relevant regulations.

Salary and benefits

  • 1.(Senior Scientist, Research Scientist) One-year fixed-term employment contract, renewable based on evaluation, up to seven years since the initial date of hire.
  • 2.(Postdoctoral Researcher) One-year fixed-term employment contract, renewable based on evaluation, up to five years since the initial date of hire.
  • 3.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 70 years.

RIKEN has indefinite-term positions, which are subject to the mandatory retirement age of 61 for FY2023 and FY2024. (Note: RIKEN has been increasing the mandatory retirement age by one year every two years from FY 2023.) There is a subsequent re-employment program allowing hiring until age of 65. 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 305,100 JPY for Postdoctoral Researcher, 433,800 JPY for Research Scientist and 484,100 JPY for Senior Scientist as of April 1, 2024. 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 for a candidate with 4 years of experience, ability, and achievement after completion of the doctoral course as Postdoctoral Researcher will be approximately 420,000 JPY and for a candidate with 10 years of experience, ability, and achievement after completion of the doctoral course as Research Scientist will be approximately 650,000 JPY. For Senior Scientist, the salary will, in principle, be set above that of Research Scientist and determined based on a comprehensive evaluation. 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.
Smoking is entirely prohibited on site.
These and other provisions are in accordance with RIKEN regulations.

*RIKEN has a work-from-home system, but this position requires attendance at the work location. Therefore, the work-from-home system is not available for this position. However, if telecommuting is expected to improve work efficiency and approval is obtained from the team leader and RIKEN through the prescribed procedures, it is possible to work from home within Japan for part of the designated working days. For more details, please contact the hiring representative at: kobe-jobs [at] riken.jp.

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. Only recommendation letters may be either in English or in Japanese.

  • 1.CV or 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.
    The attached format is available for your convenience.
  • 2.List of research achievements
    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, 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 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.
    • *Recommendation letters must be sent directly by the referees.
    • *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. Please make sure to write the date.
  • 7.Consent form for handling personal information based on GDPR

How to apply

Combine the above documents except the recommendation letters into a single PDF file and upload them to the following link:
Applications for High Performance Big Data Research Team

The file name of the PDF should contain the job ad number “K24074, R-CCS High Performance Big Data 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 and the name of the position that you apply for.

Recommendation letters must be directly submitted from the referees to the link mentioned above with the subject line "R-CCS High Performance Big Data Research Team, [name of the position], [applicant’s name] (Recommendation letter)”. Please specify the applicant's name, referee's name and contact information in the body of 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 positions are filled.

Handling Personal Data

Submitted documents are strictly protected under the RIKEN Privacy Policy and will be used only for the purpose of applicant screening at RIKEN. 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 (2 interviews for Senior Scientist and Research Scientist positions and one interview for Postdoctoral Researcher position). No inquiries on the selection process and results will be answered.

Start of Employment

At the earliest opportunity (subject to negotiation)

Remarks

Application files will not be returned.

Contact Information

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

Kento Sato
High Performance Big Data Research Team
RIKEN Center for Computational Science
Team website: High Performance Big Data Research Team, Riken R-CCS
Email: kento.sato [at] riken.jp

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