Open Positions
Open researcher position at ATR Brain Labs., Kyoto, Japan
Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan, has open researcher positions and invites applications from people with strong motivations and ambitions in the research project described below.
We will study how to analyze multi-modal sensor measurements to create artificial intelligence that can understand semantically daily life situations based on machine learning.
We seek a highly motivated research scientist or postdoctoral researcher to develop machine learning techniques for estimating brain states from non-invasive neuroimaging data (e.g. EEG and fMRI). Our current research interests include (but not limited to):
(1) development of geometric deep learning methods for extracting common information shared by EEG and fMRI (Ju et al., ICLR2024) by utilizing simultaneous EEG-fMRI data of high quality that we possess (Kuroda et al., Imaging Neuroscience, 2024)
(2) development of transfer learning methods for accommodating non-stationarity and individual differences in neuroimaging data (Kober et al., NeurIPS2022, ICASSP2022)
Through such methodological research, our aim is to develop neuro-technology for monitoring brain states with EEG, which can be used in a real-life setting, by taking advantage of fMRI data. Once employed, candidates will have access to various multi-modal neuroimaging data recorded by experimental neuroscientists in our lab and also to our own Brain Machine Interface systems.
[Keywords] Machine learning, multi-modal neuroimaging data, brain state estimation, neurotechnology, transfer learning
We look forward to your applications and recommendations.
Motoaki Kawanabe, Ph.D.
Advanced Telecommunications Research Institute International (ATR), Kyoto, Japan
■ Requirements for Researchers
Qualification:
– Applicants must have a Ph.D. or expect to receive a Ph.D. before the date of employment
– Applicants should possess a doctoral degree in machine learning, computer science, statistics or a related field of mathematical informatics.
– Applicants should have interest in neuro-technology and/or neuroscience
– Having research experience in brain/biomedical/ambient data analysis will be advantageous, but not mandatory
– Applicants should have programming skills and experience in machine learning methods (Python etc.)
– Speaking Japanese is not mandatory, however, applicants must also have good communication skills and be able to cooperate with the relevant personnel within/outside of the laboratory to fulfill the tasks.
■ Number of openings
Only a few positions available
■ Employment conditions
Position : Full-time Researcher
Tenure : Single year based contract, renewable based on evaluation
Treatment: Based on individual performance
Work Location: Advanced Telecommunications Research Institute International (ATR)
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan
■ Application materials
Please submit the following five materials to the contact address below, either in printed or electronic form:
- CV
- List of publications
- Reprints (or PDF files) of 1-3 major publications
- Essay (up to two pages in A4 or letter size) describing:
– Summary of your previous research and/or development
– Interests for research
– Additional research skills not directly foreseeable from 1 or 2
- Recommendation letters from more than or equal to two researchers
*If submitted in printed form, original documents will not be returned.
■ Judging system
After documentary examination, we ask for presentation and interview if needed
■ Starting date
Soon (negotiable)
■ Deadline for application
Opens until positions are filled.
■ Contact
〒619-0288 Department of Dynamic Brain Imaging
ATR Cognitive Mechanisms Laboratories (Application for Researcher Position)
2-2-2 Hikaridai, Seika-cho, Soraku-gun, Kyoto 619-0288, Japan
(old) Email: dbi-cma at atr.jp (Replace “at” with “@”)
(new) Email: dbi-recruit at atr.jp (Replace “at” with “@”)
Note: We updated the email address. Please use the new one.
■ Use of personal data
All personal data received will be properly managed and only be used for the purpose of recruitment.