RIKEN
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Postdoctoral/Researcher Position in Physical AI, Intelligent Robotics, and Perceptual Information Processing RIKEN in Japan
Degree Level
Postdoc
Field of study
Computer Science
Funding
Annual income starts at 6 million yen. Salary is annualized and consists of fixed and variable components based on experience, skills, and achievements. Discretionary work allowance, commuting allowance, housing allowance, and social insurance are provided.
Deadline
Oct 16, 2027
Country
Japan
University
RIKEN
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About this position
RIKEN is recruiting a researcher/postdoctoral-equivalent fixed-term position in the Physical AI Honda R&D Collaboration Team in Saitama, Japan. The role is centered on physical AI, intelligent robotics, perceptual information processing, and machine learning, with a strong emphasis on building systems that connect information and the real world through demonstrations and practical deployment.
The team works with Honda R&D Co., Ltd. under a NEDO project to advance dexterous and intelligent machines that can perform difficult tasks with human-like skill. Research themes include multimodal sensing, vision and touch integration, sensor fusion, tactile sensing, motor learning, reinforcement learning, edge AI, distributed processing, real-time systems, network systems, VLA/VLM foundation models, and world models.
Eligibility: applicants should hold a PhD or be expected to obtain one by appointment time, or have equivalent R&D experience. The posting seeks candidates with experience in AI, robotics, control engineering, computer science, ICT, mechanical engineering, or electrical/electronic engineering, plus Python/C++ development and experience building and evaluating experimental, robotic, embedded, or AI systems. Collaboration skills are important because the work involves joint research with Honda R&D and other researchers.
Funding and conditions: annual income starts at 6 million yen, with fixed and variable salary components. Additional allowances include commuting and housing allowances, and social insurance is provided. The position is a fixed-term contract with renewal possible up to 2031-08-31, subject to evaluation and project status.
Location: RIKEN Wako Campus, Saitama Prefecture, Japan, with a possible additional research base in Tokyo. The application deadline is 2027-10-16, though the search may close earlier once a suitable candidate is selected.
How to apply: submit the required documents through the RIKEN careers application page. The posting indicates that CV and publication list are required, and applicants should use the employer web application portal rather than email.
Funding details
Annual income starts at 6 million yen. Salary is annualized and consists of fixed and variable components based on experience, skills, and achievements. Discretionary work allowance, commuting allowance, housing allowance, and social insurance are provided.
What's required
Applicants must hold a PhD or be expected to obtain one by the time of appointment, or have equivalent research and development experience. Required experience includes research and development in AI, machine learning, robotics, control engineering, computer science, information and communication technology, mechanical engineering, or electrical/electronic engineering; software development using Python and C++; building and evaluating experimental, robotic, embedded, or AI systems; and communication skills for domestic and international collaboration. Preferred experience includes sensor fusion, tactile sensing, motor learning, reinforcement learning, edge AI, distributed processing, real-time systems, network systems, hardware implementation, system integration, industry collaboration, PoC/demonstrations, OSS development, VLA/VLM foundation models, and world models.
How to apply
Apply through the job posting URL on the RIKEN careers website. Prepare the required electronic application documents, including a CV and publication list, and submit them via the employer web application portal. Applications are accepted until the deadline, but the search may close earlier once a suitable candidate is found.
More information can be found here
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