ORGANISATION/COMPANYRIKEN(The Institute of Physical and Chemical Research)
RESEARCH FIELDComputer scienceEngineering › Computer engineeringTechnology › Computer technology
RESEARCHER PROFILERecognised Researcher (R2)
APPLICATION DEADLINE04/03/2021 23:59 - Asia/Tokyo
LOCATIONJapan › Tokyo
TYPE OF CONTRACTTemporary
HOURS PER WEEKSee description
Imperfect Information Learning Team
Generic Technology Research Group
RIKEN Center for Advanced Intelligence Project
(Team Leader: Masashi Sugiyama)
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 more information, please refer to the above "Job Posting URL":
Imperfect Information Learning Team | RIKEN Center for Advanced Intelligence Project
[Job title and Job description]
Job title, available positions:
Opening for Research Scientist or Postdoctoral Researcher, one position
Carries out research and other work in accordance with team research themes. Basically defined as those with a doctoral degree more than 5 years.
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.
Machine learning with big labeled data has been actively investigated and its effectiveness has been demonstrated. However, in many application domains, it is difficult or even it is not possible to collect a large amount of labeled data. In the Imperfect Information Learning Team, for various machine learning tasks including supervised learning, unsupervised learning, and reinforcement learning, we develop novel algorithms that allow accurate learning from weakly-supervised data including partially labeled, high-dimensional, non-i.i.d., and extremely noisy data. We also elucidate their theoretical properties and apply them to various real-world applications ranging from fundamental science to business. The successful candidate is expected to develop algorithms of weakly-supervised learning, analyze theoretical properties, and perform experiments individually. Supervising interns and part-time students as well as supporting industry projects are also expected.
Branch and address:
RIKEN Tokyo Campus
[Start of Employment]
As early as possible
Machine learning, weakly-supervised learning, robust learning, reinforcement learning
For details about "Salary and benefits", please refer to the above "Job posting URL".
Handling Personal Data:
Personal information will not be disclosed, transferred or loaned to a third party under any circumstances without just cause.
EURAXESS offer ID: 506064
Posting organisation offer ID: D120030134
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