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Position: Research Scientist or Postdoctoral Researcher
Institution: Institute of Physical and Chemical Research
Location: Japan
Duties: The research scientist or postdoctoral researcher will conduct research on causal digital twin for medical science and other fields in collaboration with our collaborators in those domains. The successful candidate is expected to conduct research on estimating structural causal models using such real-world data as medical data, conducting counterfactual simulations using the estimated models and making predictions by machine learning using such simulated data as well as conducting methodological research on the estimation of causal models
Requirements: must have a Ph.D. or expect to receive a Ph.D. before the date of employment in machine learning, statistics, biometrics or a related field; must have expertise in statistical causal inference or in topics including machine learning, time series analysis, and dynamical systems; must have experience of performing real-world data analysis using Python or R
   
Text: Skip to main content Access Contact Us 日本語サイト Search About RIKEN Research News & Publications Careers Partnerships & Tech Transfer Home Careers Job Openings Please enable JavaScript in your browser. Seeking a Research Scientist or Postdoctoral Researcher (W22179) Japanese Page Laboratory Causal Inference Team Generic Technology Research Group RIKEN Center for Advanced Intelligence Project (Laboratory head: Shohei Shimizu) Research Field The Center for Advanced Intelligence Project has been launched with subsidy from Ministry of Education, Culture, Sports, Science and Technology-Japan for “Advanced Integrated Intelligence Platform Project (AIP) -Artificial Intelligence/ Big Data/ Internet of Things/ Cybersecurity-”. The Center conducts fundamental theoretical research and develops an innovative technology, with aiming to advance science and contribute to society or humanity. This Center is a project with a maximum of 10 years from FY 2016. Our group works on developing mathematical methods to elucidate the causal mechanisms underlying natural phenomena and human behavior. In particular, we develop statistical methods for estimating causal relationships from observational data that are obtained from sources other than randomized experiments and construct a new methodology that goes beyond the conventional limits. We also aim to contribute to the solution of problems in basic sciences such as natural and social sciences and applied sciences such as engineering and medicine by collaborating with people in those fields. For more information, please refer to the following webpage: Causal Inference Team Job title and Job description Job title, available positions Research Scientist or Postdoctoral Researcher 1 position Research Scientist Carries out research and other work in accordance with team research themes Basically defined as those with a doctoral degree more than 5 years. Postdoctoral Researcher Carries out research and other work in accordance with team research themes under the direction of supervisors. Basically defined as those with a doctoral degree of 5 years or less. * The applicant will be assigned to an appropriate position based on his/her ability, aptitude, etc. Job description The research scientist or postdoctoral researcher will conduct research on causal digital twin for medical science and other fields in collaboration with our collaborators in those domains. The successful candidate is expected to conduct research on estimating structural causal models using such real-world data as medical data, conducting counterfactual simulations using the estimated models and making predictions by machine learning using such simulated data as well as conducting methodological research on the estimation of causal models * The Center for Advanced Intelligence Project applies a work system combining work-from-home and work-at-office. Qualification must have a Ph.D. or expect to receive a Ph.D. before the date of employment in machine learning, statistics, biometrics or a related field. must have expertise in statistical causal inference or in topics including machine learning, time series analysis, and dynamical systems must have experience of performing real-world data analysis using Python or R must be proactive, cooperative, flexible, and able to respond according to the circumstances. must also have good communication skills and be able to cooperate with the relevant personnel within/outside of the laboratory to fulfill the tasks. Work location Branch and address RIKEN Center for Advanced Intelligence Project, Hikone campus of Shiga University (1-1-1 Bamba Hikone, Shiga) Salary and benefits The following rules do not apply if the appointment is to begin on or after April 1, 2023, in accordance with the open recruitment procedure by RIKEN after October 17, 2022. "The employee’s period of fixed-term employment cannot exceed 5/10 years from the initial date of hire (or 5/10 years from April 1, 2013 for fixed-term employees already at RIKEN prior to this date)." 1. A one-year fixed-term employment contract, renewable based on evaluation. The employment duration will not exceed the end of fiscal year (March 31) in which the employee completes 7 years of employment. (Maximum employment duration for a Postdoctoral Researcher is 5 years) 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). 4. In principle, the duration of the Center is 10 years from FY 2016 to FY 2025. If it is decided that research projects in which they are involved will be discontinued after the duration ends, RIKEN may adjust the maximum period of renewability for their contract. 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 345,600 JPY for Research Scientist, 290,200 JPY for Postdoctoral Researcher, as of April 1st 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 monthly salary at the time of employment: Research Scientist Monthly salary range, including discretionary work allowance, at the time of employment is 500,000-833,000JPY (annual salary 6,000,000-9,996,000 JPY). Decided based on experience, ability, and achievements. Postdoctoral Researcher Monthly salary range, including discretionary work allowance, at the time of employment is 400,000-558,000JPY (annual salary 4,800,000-6,696,000JPY). Decided based on experience, ability, and achievements. 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 depending on the month of employment), special paid leave (childcare, 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. 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. Smoking is not permitted on site except in designated smoking areas. Smoking will be entirely prohibited on site from April 2024. These and other provisions are in accordance with RIKEN regulations. 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 ). The Wako Campus has an on-site daycare, RIKEN Kids Wako . For details, please send an email to the HR at kids [at] riken.jp. Application and required documents Required documents 1. Complete CV or CV (with photo and email address) * Write the RIKEN job ad number “W22179”, indicated in the parentheses next to the job title, in the RIKEN job ad number section in the upper right corner of your CV. 2. List of publications: Circle titles of three major papers in the list 3. Photocopies of three major research papers. 4. Two different letters of recommendation including one by the current supervisor Note: If you cannot obtain a letter of recommendation from your current supervisor, the same document issued by a third party is acceptable. Please specify the referee’s contact information (Name, affiliation, job title, phone number, and email address) Letters of recommendation must be addressed to: Director of RIKEN Center for Advanced Intelligence Project Stamp or signature by referee is necessary. Referees must directly send letters of recommendation 1) by postal mail to the address below after sealing, or 2) by email attached with a letter of recommendation with stamp or signature in PDF format, to the address below. 5. Research in the past and research plan (3 pages in A4 size) Your research plan must include outcome expected within a few years from your appointment. 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 How to apply Applicants must contact the Center for Advanced Intelligence Project before they submit the required documents in PDF format by email to the bellow Email address. Please use the subject line “W22179_your name_the position that you are applying for” when you apply. (Example “W22179_Hanako Riken_ Postdoctoral Researcher”) Also, the document names for the letters of recommendation must be “Letter of recommendation_your name.” (Example: Letter of recommendation_Hanako Riken). You need to ask your referees to use this document name for the letter. Note: Application documents will not be returned. No information can be released regarding application status or evaluation details prior to, during, or after the evaluation process. Deadline Open until the position is 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. Personal information will not be disclosed, transferred or loaned to a third party under any circumstances without just cause. Selection process Application screening, interview and oral presentation by selected applicants Start of Employment As early as possible Contact Information / Send application to RIKEN Center for Advanced Intelligence Project Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, Tokyo 103-0027, Japan Email: aip-hr [at] ml.riken.jp For inquiries, please send an email. 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