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RIKEN
1 month ago
Researcher or Postdoctoral Fellow in Next-Generation AI Device Development, AI, HPC, and Computer Architecture RIKEN in Japan
Degree Level
Postdoc
Field of study
Computer Science
Funding
Annual income starts at 4 million yen. Salary uses an annual salary system with fixed and variable components based on experience, skills, and achievements. Discretionary work allowance, commuting allowance, and housing allowance are provided, and social insurance is included.
Deadline
Jul 3, 2027
Country
Japan
University
RIKEN
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About this position
RIKEN’s Research Center for Computational Science (R-CCS) is recruiting a Researcher or Postdoctoral Fellow for the Research Unit for Next-Generation AI Device Development in the AI for Science Platform Division.
This opportunity is centered on AI, HPC, computer architecture, system software, compiler/framework development, and hardware design for next-generation AI devices in the post-Moore era. The unit works on AI models and algorithms, high-performance computing methods, new computer architectures, hardware implementation, software stacks, and evaluation of AI/HPC systems. Relevant technical keywords include FPGA, ASIC, HDL, HLS, reconfigurable accelerators, circuit design, programming models, and generative AI.
The position is physically located in Kobe, Hyogo Prefecture, Japan, at RIKEN’s Kobe campus. The appointment is a fixed-term contract role, not tenure-track. The posting states that the successful candidate will collaborate with other teams at R-CCS, other RIKEN centers, and related institutions in Japan and abroad, and may also contribute to the JST project on next-generation edge AI semiconductor R&D.
Eligibility: applicants should hold a PhD in a related field. For the Special Research Fellow track, a PhD expected by the start date is acceptable, and the degree should be within 5 years of completion. The post also emphasizes communication, collaboration, independence, and strong English ability. Experience in computer architecture, FPGA/ASIC development, compilers, AI frameworks, AI applications, or HPC programming is highly relevant.
Funding: annual salary starts at 4 million yen, with additional allowances such as commuting and housing support, plus social insurance. The salary is experience- and performance-based.
Deadline: applications are accepted until 2027-07-03, but the review is rolling and the search may close once a suitable candidate is found.
To apply, use the RIKEN recruitment page and follow the employer web application instructions. The posting provides a contact email for recruitment inquiries and a separate research contact for questions about duties.
Funding details
Annual income starts at 4 million yen. Salary uses an annual salary system with fixed and variable components based on experience, skills, and achievements. Discretionary work allowance, commuting allowance, and housing allowance are provided, and social insurance is included.
What's required
Applicants must have a doctoral degree in a field related to the job content; for Special Research Fellow, a doctoral degree expected by the start date is acceptable and the PhD must be within 5 years of completion. Candidates should be able to communicate and collaborate smoothly with internal and external collaborators. Experience or strong familiarity with one or more of the following is required or preferred: computer architecture, FPGA/ASIC circuit design, implementation, verification and evaluation, system software such as drivers and compilers, AI frameworks, AI models and algorithms (especially generative AI), AI applications, and high-performance computing using CPUs, GPUs, or parallel computers. Research and development experience in the listed areas, software programming, architecture exploration and evaluation, and hardware development for FPGA/ASIC are desirable. Strong English communication ability, independence, teamwork, and initiative in developing research topics are preferred.
How to apply
Apply through the RIKEN recruitment webpage linked in the posting. Prepare the required documents listed on the job page, including CV and publication list, and submit them via the employer web application portal. Applications are reviewed on a rolling basis, so apply as early as possible.
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