Inami ERATO｜CAREER

Career

Postdoc, Project Facalty Positions

Komaba Ⅱ campus

Job title

Postdoc, Project Assistant Professor, and/or Project Lecturer Positions（Fixed-term Project Staff）

Number of positions available

Few positions

Job title

Research Center for Advanced Science and Technology, the University of Tokyo offers full-time research positions with the aim of developing an interdisciplinary research group under the ERATO Inami JIZAI Body Project.

Place of Work

Research Center for Advanced Science and Technology The University of Tokyo,
4-6-1, Komaba, Meguro-ku, Tokyo

Qualifications

Ph.D., M.D. or equivalent in a related field

Term

March 31, 2019〜 March 31, 2023

Contract renewal

In case of renewal, it should happen before the end of March 2023.
( The project will end in 2023)

Probation period

6 months from the date of arrival.

Salary and Services

Salary will be determined based on a candidates’ experiences and achievements.Wage raise can be considered based on performances.Services will be provided according to the University Regulations.

Working Hours

Discretionary labor system, based on 7 hours, 45 minutes per day, or 38 hours 45 minutes per week

Holidays

Saturdays and Sundays; Statutory public holidays of Japan; Year-end and New Year holidays ( December 29 through January 3 ); Summer holidays

Vacation

Annual paid vacation, Sick leave (paid), Special vacation (paid)

Social Insurance

Eligible for MEXT* Mutual Aid Association membership,employees’ pension, employment insurance, and workers’ accident compensation insurance. (*MEXT: Japan’s Ministry of Education, Culture, Sports, Science and Technology)

Document submission

All documents should be submitted as email attachments in pdf format.

1) The University of Tokyo standard resume（Format is available onhttp://www.u-tokyo.ac.jp/per01/r01_j.html）
2) List of publications
3) Offprints of major papers
4) Summary of research achievements (Up to two A4 pages)
5) Research proposal on JIZAI Body project (Within one A4 page)

Selection Process

All applications will be screened, and only those qualified will be scheduled for an interview (on-site or via video).

Application Submission

inami-erato-recruit(at)star.rcast.u-tokyo.ac.jp
*The subject should be「Inami ERATO project researcher position」
Personal information is handled carefully according to the Privacy Policy of the University of Tokyo, and will be used only for the job selection process.

Institution

The University of Tokyo

Contact Information

RCAST the University of Tokyo JST ERATO Innami ERATO JIZAI BODY PROJECT：inami-erato-recruit(at)star.rcast.u-tokyo.ac.jp

more information

■ Keywords: ERATO,Inami ERATO,unity with human beings,wearable robotics,assistive robotics,brain information decoding,VR,machine learning
■ Research Description: The project is organized into three groups that will conduct development, verification, and social implementation of the research issues that will cover a wide range of topics
JIZAI Body Implementation Group: Based on the principles of human body and behaviors, the Group 1 takes the initiative in developing mechanical hardware and VR contents for the JIZAI Body system, an interface providing the body editing experiences, integrating various knowledge such as robotics, machine learning, wearable technologies and Telexistence. In addition, the group will be in charge of setting up appropriate environment for verification and social implementation.
Cognitive Psychology and Behavior Analysis Group: This group is in charge of verifying the impact of JIZAI Body system over users’ behavior and state of mind through planning, conducting, and analyzing psychological experiments. There will not only be small-scale experiments but also large-scale verification in the real society and a virtual world in the future. Findings about the physiological reactions and changes of state of mind of system users will be discussed with other groups for pleotropic analysis and further development of the JIZAI Body system.
System Intelligence and Neural Mechanisms Group: This group will work on aspects to optimize the quality of this interaction between a human and his JIZAI body system. The group will use brain imaging and machine learning techniques to understand the neural plasticity associated with the embodiment of a JIZAI Body by a human. It will use machine learning and robotics to improve the intelligence of the JIZAI body, enabling it to assist operations by human users by understanding the user’s motor skills, habits and likings.