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Researcher/Postdoctoral Fellow in Adaptive Bayesian Intelligence and Edge AI Semiconductors RIKEN in Japan
Degree Level
Postdoc
Field of study
Computer Science
Funding
Full funding availableDeadline
Mar 5, 2027
Country
Japan
University
RIKEN

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About this position
RIKEN’s Center for Advanced Intelligence Project is recruiting a Researcher / Postdoctoral Fellow for the Adaptive Bayesian Intelligence Team in Tokyo, Japan. The position sits in the subgroup “Research and Development of Processors for Edge AI” (Co-PI: Keigo Nishida) within the JST project “Accelerating Edge Intelligence for AI for Science”.
The research theme combines machine learning, deep learning, Bayesian machine learning, statistics, optimization, reinforcement learning, active learning, continuous learning, and lifelong learning. The successful candidate will work on fundamental algorithms and theories based on the Bayesian principle, support use cases for edge AI semiconductors, coordinate across projects, and aim to publish at top machine learning conferences.
This is a fixed-term contract role. The posting states an annual income of 4 million yen or more, with salary determined by experience, skills, and achievements. Additional benefits include commuting allowance, housing allowance, and social insurance. Remote work from within Japan may be possible with approval.
Eligibility highlights: PhD in machine learning, computer science, statistics, or a related field, or expected completion by the hiring date; prior publications at major ML conferences are preferred; strong expertise in one or more of deep learning, optimization, active learning, lifelong/continuous learning, or Bayesian machine learning is expected.
Deadline: applications are accepted from 2026-03-05 until 2027-03-05, and the search may close earlier once a suitable candidate is found.
How to apply: submit the required documents through the RIKEN public offering page. Email applications are not accepted. Review the official posting for the full document list and submission instructions.
Funding details
Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.
How to apply
Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.
More information can be found here
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