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Seeking a few Senior Scientists, Research Scientists or Postdoctoral Researchers (K24040)

Laboratory

Learning Optimization Platform Development Unit
AI for Science Platform Division
RIKEN Center for Computational Science
(Unit header:Mohamed Wahib)

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

The Learning Optimization Development Unit is part of the AI for Science Platform Division. The unit develops AI software infrastructure and models for expanding the use of AI beyond commercial use cases, and into scientific domains. In particular, adapting AI-based methods into the scientific requirements of semi-structured multimodal data, complex representations, and attribution, in collaboration with other research institutions working on AI for science in Japan and internationally.

Job title and Job description

Job title

Senior Scientist, Research Scientist, or Postdoctoral Researcher: A few positions

Job description

Conduct research on AI for science by focusing on the following topics:

  • 1. Apply and develop AI optimization methods to use in real-world scientific applications and case studies in various domains, such as imaging (ex: CT, MRI etc), life science, and earth science.
  • 2. Developing techniques for incorporating scientific domain knowledge, uncertainty quantification, and constraints into machine learning for optimization.
  • 3. Integration of AI into science codes: improving model serving, scalability, and resource utilization of LLMs for real-time and large-scale scientific applications.
  • 4. Auto generation of code for HPC algorithms using empirical models based on machine learning.

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.

Qualification

Applicants must have a Ph.D. or expect to receive a Ph.D. 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 or Senior Scientist. Exceptions may apply to those with an outstanding record of achievements. Senior Scientist must have advanced research skills and achievements, as well as experience in providing guidance to researchers and others. Successful candidates must have thorough knowledge of basic algorithms for parallel computing, designing and programming hardware and software for HPC systems, the basic theory of machine learning and the frameworks of deep learning. Individuals with research experience in the areas described in “Job description” are strongly preferred. The applicant must be socially cooperative, able to conduct research independently, and have good communication skills.

Work location

RIKEN Center for Computational Science (Tokyo Campus - Nihonbashi)
Tokyo Office, RIKEN Center for Computational Science
1-4-1, Nihonbashi, Chuo-ku, Tokyo, 103-0027, 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.(Postdoctoral Researcher) One-year fixed-term employment contract, renewable based on evaluation, up to five years since the initial date of hire, but not beyond the end of March, 2032 depending on the employment start date.
  • 2.(Research Scientist and Senior Scientist) 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.
  • 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 will be more than 440,000 JPY for Postdoctoral Researcher, 550,000 JPY for Research Scientist and 670,000 JPY for Senior Scientist.
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.

*Our team actively utilizes a telecommuting system. The post currently being offered may be carried out through telecommuting (full-remote work) within Japan for the entire specified work period, provided that the required procedures are completed, and approval is obtained from RIKEN. For more information, please get in touch with the hiring at kobe-jobs [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:

Application for R-CCS Learning Optimization Platform Development UnitThe webpage will open in a new tab.

The file name of the PDF should contain the job ad number “K24040, LOP Unit” 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 "K24040, LOP Unit, [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 Research Scientist and Senior Scientist positions and one interview for Postdoctoral Researcher position). No inquiries on the selection process and results will be answered.

Start of Employment

November 1, 2024 or later (subject to negotiation)

Notes

Application files will not be returned.

Contact Information

For inquiries on research conducted by the team, please contact the Unit Leader by email:
Mohamed Wahib
Learning Optimization Platform Development Unit
RIKEN Center for Computational Science
Email: mohamed.attia [at] riken.jp

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