Seeking a Research Scientist or a Postdoctoral Researcher (26-668) Part-time

Research Scientist or Postdoctoral Researcher

The RIKEN Center for Advanced Intelligence Project (AIP) is a leading international hub for state-of-the-art AI research. Centered around three core research groups—the Mathematical Intelligence Group, the Domain Intelligence Group, and the Physical Intelligence Group—AIP is dedicated to establishing the mathematical foundations of trustworthy AI, advancing AI technologies integrated with diverse scientific domains, and developing embodied intelligence for the real world.

The Adaptive Bayesian Intelligence team is focused on designing sustainable and transparent AI systems that can adapt quickly, just like humans and animals. The team hosts machine learning researchers with wide-range of expertise in areas such as approximate Bayesian inference, optimization, statistics, deep learning, information geometry, etc.. We work on a variety of learning problems, especially those involving supervised, continual, active, federated, online, and reinforcement learning.

The candidate will work on problems at the intersection of deep learning, Bayesian inference, optimization, and transparent AI. The candidate is expected to carry out research and publish their findings in top machine-learning conferences, and help in the management of the group, as well as supervision of internship students and technical staffs. The position is meant to further the careers of early-career researchers who wish to pursue a career in academia.

The job description may be changed during the contract period or upon contract renewal to the extent described above.

Must have a Ph.D. or expect to receive a Ph.D. before the date of employment in machine learning, computer science, statistics or a related field.

The candidate must have published their research in machine-learning conferences (NeurIPS, ICML, AISTATS, UAI, ICLR, etc.). The candidates are expected to be an expert in one or more of the following areas: Machine Learning, Bayesian methods, Deep Learning, Optimization, Active Learning, Continual Learning, Explainable AI, and Reinforcement Learning.

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.

RIKEN Tokyo Campus (1-4-1 Nihonbashi, Chuo-ku, Tokyo)

RIKEN may order the employee to change work locations, if necessary.

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:

Research Scientist: The total amount of monthly discretionary work allowance and monthly salary at the time of hiring will be 448,990JPY or more

Postdoctoral Researcher: The total amount of monthly discretionary work allowance and monthly salary at the time of hiring will be 382,610JPY 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 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 Wako Campus has an on-site daycare, RIKEN Kids Wako. For details, please send an email to kids@riken.jp.

Required documents:

• List of publications (including Researcher ID or Google Scholar ID, if available): Circle titles of three major papers in the list
• Photocopies of three major research papers.
• Two different letters of recommendation including one by the current supervisor
• Research in the past and research plan (3 pages in A4 size)
• Agreement on handling of personal information

How to apply:

• A) Please access ” [HR] Inquiry for public recruitment ” and enter your contact information, the Open call ID (26-668) and so on.
• B) Our HR staff will send you an email with instructions on how to submit your application.

Note: Application documents will not be returned.

We cannot answer any inquiry about information regarding application status or evaluation details prior to, during, or after the evaluation process.

Open until the position is filled

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.

April 1, 2027 (Negotiable)

RIKEN Center for Advanced Intelligence Project Email: aip-hr@ml.riken.jp For inquiries, please send an email.