About this position
[Background of the recruitment and description of the project]
- Background of the recruitment and description of the project
The RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, are threefold, centered around supercomputing: one is to target high performance computation itself as a scientific objective, or namely, the "Science of Computing"; another is to apply the enormous computational power thus obtained to solve difficult scientific problems, or namely the "Science by Computing"; finally, to collaborate with other scientific disciplines that contribute to advances in both sciences, or namely, the "Science for Computing. Our goal is to be recognized as one of the global leadership research centers to advance high-end computational science in this regard.
The High Performance Artificial Intelligence Systems Research Team is an R-CCS laboratory: Conducts research on high performance systems – software – algorithms to speed up AI applications based on large-scale and massively parallel systems in the context of “HPC for AI”, using cutting-edge supercomputers, such as Fugaku, and advanced high-performance computing infrastructures. Explores elemental technologies for “AI for HPC”: AI optimizes various functions of HPC systems, such as resource scheduling, electrical power control, program execution, etc. For these, aims to “mutually improve AI/machine learning and high-performance computing”, in collaboration with other research institutions working on HPC and AI in Japan.
【Keywords】AI in Science
- details of the business
RIKEN is Japan's largest and most comprehensive research organization for basic and applied science.
[Work content and job description]
Conduct research on next-generation AI systems by focusing on the following topics:
1.Acceleration of HPC algorithms using machine learning
2.Auto generation of code for HPC algorithms using empirical models based on machine learning.
3.Extreme speedup and scalability of deep learning:
Achieve extreme scalability of deep learning in large-scale supercomputing environments including Fugaku,extending the latest algorithms and frameworks for deep learning.
4.Performance analysis of deep learning:
Accelerate computational kernels for AI over the state-of-the-art hardware architectures by analyzing algorithms for deep learning and other machine learning/AI, measuring their performance and constructing their performance models.
5.Acceleration of modern AI algorithms:
Accelerate advanced AI algorithms, such as ultra-deep neural networks and high-resolution GAN over images,those that require massive computational resources, using extreme-scale deep learning systems.
The job description may be changed during the contract period or upon contract renewal to the extent described above.
- Assigned department
Existing departments
[Work location]
- Address
103-0027 Tokyo ,Nihonbashi 1-chome Mitsui Building, 15th floor, 1-4-1 Nihonbashi, Chuo-ku, RIKEN Tokyo Campus
RIKEN may order the employee to change work locations, if necessary, in accordance with RIKEN regulations.
[Number of hired]
Number of hired:1 person(s)
Number of hired description:Research Scientist or Postdoctoral Researcher: A few positions
Position-specific tasks are as follows:
Research Scientist
Conduct research projects and other activities in corresponding laboratories.
Postdoctoral Researcher
Receive training and guidance from senior staff; conduct research projects and other activities for corresponding laboratories.
Job content supplemental explanation:Start of Employment
As early as possible
Members only · Free to join
Sign in to see the full opening
Get the entry requirements, funding, the supervisor's contact and a link to the original advert.
- How to apply
- Contact details
Free forever No credit card 30-second sign-up
