Publisher
source

RIKEN

Researcher/Postdoctoral Fellow in Adaptive Bayesian Intelligence and Edge AI Semiconductors RIKEN in Japan

Degree Level

Postdoc

Field of study

Computer Science

Funding

Fixed-term contract position with annual salary starting from about 4 million yen. Salary uses an annual salary system with fixed and variable components; researchers are guided to 500,000 yen or more per month including discretionary work allowance, and special researchers 400,000 yen or more. Commuting allowance and housing allowance are provided, and social insurance is included.

Deadline

Mar 5, 2027

Country flag

Country

Japan

University

RIKEN

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Keywords

Computer Science
Electrical Engineering
Information Technology
Deep Learning
Mathematics
Lifelong Learning
Reinforcement Learning
Active Learning
High Performance Computing
Optimisation
Statistics
Continual Learning
ML

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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

Fixed-term contract position with annual salary starting from about 4 million yen. Salary uses an annual salary system with fixed and variable components; researchers are guided to 500,000 yen or more per month including discretionary work allowance, and special researchers 400,000 yen or more. Commuting allowance and housing allowance are provided, and social insurance is included.

What's required

Applicants must hold a PhD in machine learning, computer science, statistics, or a related field, or be expected to obtain one by the hiring date. Candidates should have experience publishing papers at international machine learning conferences such as NeurIPS, ICML, AISTATS, UAI, or ICLR. Expertise in one or more of deep learning, optimization, active learning, continuous learning/lifelong learning, and Bayesian machine learning is required. Strong communication, collaboration, flexibility, and adaptability are expected.

How to apply

Apply through the recruitment posting on the RIKEN careers page. Prepare the required application documents, including the list of achievements, and submit via the public offering URL. Email applications are not accepted.

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