17/03/2020

Seeking a Research Scientist or Postdoctoral Researcher (W19300)(Information Integration for Neuroscience Team)

This job offer has expired


  • ORGANISATION/COMPANY
    RIKEN(The Institute of Physical and Chemical Research)
  • RESEARCH FIELD
    Architecture
    Computer science
    Engineering
    TechnologyConstruction technology
    TechnologyMaterials technology
  • RESEARCHER PROFILE
    Recognised Researcher (R2)
  • APPLICATION DEADLINE
    11/03/2021 23:59 - Asia/Tokyo
  • LOCATION
    Japan › Kyoto
  • TYPE OF CONTRACT
    Temporary
  • JOB STATUS
    Full-time
  • HOURS PER WEEK
    See description

OFFER DESCRIPTION

[Laboratory]
Information Integration for Neuroscience Team
Goal-Oriented Technology Research Group
RIKEN Center for Advanced Intelligence Project
(Laboratory head: Motoaki Kawanabe)

[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.

For details about "Information Integration for Neuroscience Team | RIKEN Center for Advanced Intelligence Project", please refer to the above "Job posting URL".

[Job title and job descriptions]
Job title, available positions:
Opening for Research Scientist or Postdoctoral Researcher, one 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.

Job description:
We seek a highly motivated research scientist or postdoctoral researcher to develop machine learning techniques for estimating brain states from non-invasive neuroimaging data such as EEG and fMRI. Through such methodological development for neuro-technologies, we aim to contribute to mental healthcare in daily life and neuroscience. Examples of our current interest include (but not limited to):

・Robust analysis techniques for multi-modal brain data (e.g. predicting fMRI network activity from EEG signals based on simultaneous EEG-fMRI recordings)
・Hierarchical dynamical models for EEG data by extending the tractable neural network model for extracting EEG spatial features (Hirayama et al., ICML2017)
・Statistical techniques for extracting and visualizing personal characteristics of brain functional networks (Hirayama et al., 2016; Takagi et al., NeuroImage 2019), and transfer learning for neuroimaging data from different users (Morioka et al., NeuroImage 2015)

We have access to various multi-modal brain data as well as multi-sensor data obtained in daily living environments from close collaborators (experimental neuroscientist and computer science researchers) for developing and testing machine learning techniques.

[Work location]
Branch and address:
RIKEN Keihanna Campus (Seika-cho)
2-2-2 Hikaridai,Seika-cho,Soraku-gun,Kyoto 619-0237, Japan

[Start of employment]
As early as possible

[Keyword]
Machine learning, Brain data analysis, Multi-modal integration, Transfer learning, Neruro-technology

More Information

Benefits

For details about "Salary and benefits", please refer to the above "Job posting URL".

Additional comments

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.

Work location(s)
1 position(s) available at
RIKEN(The Institute of Physical and Chemical Research)
Japan
Kyoto

EURAXESS offer ID: 506017
Posting organisation offer ID: D120030618

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