Job description

• Background of the recruitment and description of the project

  [Outline of Laboratory]
  The RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes “science of computing, by computing, and for computing.” R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its “core competence in computational science driving science as a whole.” R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS utilizes its expertise to operate the supercomputer “Fugaku”, developed as Japan’s national project, in accordance with relevant ordinances.
  
  Our main target is as follows.
  Development of Molecular Software and Theory through Foundation Models
  
  1)Engineering of systems based on AI foundation models to automatically generate quantum chemistry software components for use on NEXT. Creation of methods for automatic software documentation, validation, and optimization specifically for high-performance computing.
  2)Use of multimodal models to generate hypotheses for new quantum chemistry methods or studies. Development of an Artificial Intelligence driven loop of hypotheses formulation, code generation, deployment, analysis, and visualization for molecular science.
  
  [Keywords]
  Artificial Intelligence,Large-scale language models,Informatics,Quantum chemistry,Theoretical chemistry,Materials

• Work content and job description

  We are recruiting a person to engage in research at the intersection of materials science, artificial intelligence, high performance computing, and software development. The goal will be to develop systems able to exploit the code generation capabilities based on AI foundation models for scientific productivity. Example directions include:
  
  (1)Development of AI foundation based systems for validating, restructuring, and improving simulation software.
  (2)Interfacing AI foundation models with supercomputers to develop automated simulation / experimentation platforms.
  (3)Artificial Intelligence based translation of academic literature into software simulation capability.
  
  Any changes in duties during the contract period or at the time of contract renewal will be within the scope of the above job description.

Job description

• Background of the recruitment and description of the project

  The RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes “science of computing, by computing, and for computing.” R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its “core competence in computational science driving science as a whole”. R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS utilizes its expertise to operate the supercomputer “Fugaku”, developed as Japan’s national project, in accordance with relevant ordinances.
  
  To lead the way toward a new frontier of theoretical and computational molecular science, our project involves the novel development of theory, algorithm, and software, which will be realized through collaborative use of “Fugaku” across the fields of computational science and computer science. Our main goals are as follows.
  Innovation of theoretical and computational molecular science based on next-generation molecular theory
  To realize an improved and updated theoretical molecular science by developing our original theorizing to handle large and complicated molecules with high accuracy
  Development of our own quantum chemistry software “NTChem”
  To provide the users to a high-performance software package for molecular electronic-structure calculations for general purpose
  Establishment of materials informatics on massively parallel supercomputers
  To develop efficient schemes for materials informatics with high-throughput simulations on “Fugaku”
  
  Keywords: Quantum Chemistry, Theoretical Chemistry, Materials Informatics

• Work content and job description

  Job Description
  Engage in one of the following assignments.
  
  Development of computational techniques for molecular science that contribute to massively parallel computing environment
  (1)Development of quantum chemistry software "NTChem" for large-scale and highly-efficient quantum chemistry calculations on "Fugaku".
  (2)Development of materials informatics technology in a massively parallel environment, particularly the establishment of materials informatics technology based on high-throughput simulation and machine learning that can effectively utilize the CPU environment of "Fugaku".
  (3)Development of innovative quantum chemistry theory and its computational method.
  
  New materials design by combination of simulation and informatics
  (1)New material design and exploration for materials that contribute to solving energy and environmental problems.
  The following materials will be targeted in this call.
  1.Solar cell materials
  A large-scale materials database will be constructed for non-leaded perovskite by comprehensive high-throughput simulations using "Fugaku". Based on the database, highly efficient and stable materials for lead-free perovskite solar cells will be designed using informatics.
  2.High-performance polymers
  A technology to predict and control the functional expression of polymer materials will be developed by utilizing simulation and informatics, and polymer materials with higher performance and functionality will be proposed using the established technology.
  
  Any changes in duties during the contract period or at the time of contract renewal will be within the scope of the above job description.

Job description

• Background of the recruitment and description of the project

  RIKEN's research is based on comprehensiveness and interdisciplinarity, and with free thinking as its basic philosophy, RIKEN promotes research that goes beyond the boundaries of conventional research fields, while at the same time responding to the needs of society from a strategic perspective.
  
  RIKEN invites applications for the position of Team Leader (Principal Investigator) to serve in a leadership position in the following research area. The successful candidate will be responsible for directing research projects from a medium-to-long-term perspective.
  
  Research Field: Integration of HPC, Big Data and AI
  In the rapidly progressing digital information society, methods for processing huge amounts of data, called big data analytics, are becoming significantly more important. As the fields of science and engineering generate vast amounts of data and store it as digital information, improvements in processing power are expected to greatly contribute to the advancement of these fields. Essential components for achieving high-performance big data analytics include advanced big data processing methods leveraging high-performance systems such as supercomputers. In recent years, the convergence of high-performance computing (HPC), big data analytics, and artificial intelligence (AI) has paved the way for groundbreaking scientific and engineering advancements. In particular, the enhancement of computational science and engineering through generative AI is already being applied in fields such as medicine, drug discovery, materials science, and weather forecasting. As the integration of HPC, big data, and AI progresses, there are great expectations for solving various social issues across a wider range of fields.It is essential to develop software to efficie
  For this continuance, Please refer to "job posting URL".
  
  キーワード：Infrastructure for Big Data Analytics，Infrastructure for Machine Learning/Deep Learning, Fault Tolerance, File System, Virtualization/Container Technology

• Work content and job description

  Rights and Responsibilities
  ・Required to participate in RIKEN management activities in addition to conducting research in the area described above as a laboratory head.
  ・Eligible to apply for competitive funding from within and outside RIKEN.
  ・Eligible to host indefinite-term researchers, fixed-term researchers, Special Postdoctoral Researchers, JSPS Researchers and Junior Research Associates etc.
  ・Eligible to apply for the purchase of commodities, and laboratory space.
  ・Responsible for overseeing laboratory members, managing the laboratory budget and handling the maintenance and use of all laboratory equipment and instruments.

Job description

• Background of the recruitment and description of the project

  [Research Field]
  The Center for Biosystems Dynamics Research (BDR) views the functions of molecules, cells, and organs that support all life stages of organisms as a dynamic system, and aims to elucidate developmental, growth and aging phenomena as well as apply their findings to develop regenerative medicine and diagnostics, thereby contributing to the extension of healthy life expectancies.
  
  The Laboratory for Chromosome Segregation is recruiting a research employee. The lab studies chromosome segregation in mammalian oocytes and early embryos. Specific research targets include oocyte-specific mechanisms for chromosome segregation, the diversity of chromosome segregation mechanisms during different life stages such as oocyte maturation, fertilization and embryonic development, aging-associated errors in chromosome segregation, and physical manipulation of chromosome segregation. Techniques include live imaging, use of genetically engineered mice, micromanipulation, and molecular and cell biological technologies.
  [Keywords]
  Oocyte,Chromosome,Aging,Live imaging

• Work content and job description

  Job description
  1.Oocyte-specific mechanisms of chromosome segregation
  2.Diversity of chromosome segregation mechanisms during different life stages such as oocyte maturation, fertilization and embryonic development
  3.Aging-associated errors in chromosome segregation in oocytes
  4.Physical manipulation of chromosome segregation using tools such as artificial kinetochores
  We are particularly interested in candidates who are motivated to take advantage of the strength of our team and bring new approaches, such as a physical point of view. Please do not hesitate to contact to the Team Leader (tomoya.kitajima [at] riken.jp).
  
  The job description may be changed during the contract period or upon contract renewal to the extent described above.

Job description

• Background of the recruitment and description of the project

  The Center for Biosystems Dynamics Research (BDR) views the functions of molecules, cells, and organs that support all life stages of organisms as a dynamic system, and aims to elucidate developmental, growth and aging phenomena as well as apply their findings to develop regenerative medicine and diagnostics, thereby contributing to the extension of healthy life expectancies.
  
  The research overview of the laboratory is shown below.
  
  Tissue homeostasis relies on constant tissue renewal, notably within the rapidly regenerating intestinal epithelium. Precise control of cell proliferation during differentiation is critical for maintaining tissue homeostasis, as its disruptions lead to atrophy or cancer. Our research focuses on elucidating how cell proliferation and differentiation are orchestrated in the intestinal epithelium. In particular, we aim to uncover the molecular mechanisms underlying the cell fate decision of intestinal epithelial stem cells by live imaging of mouse intestinal organoids, multiplexed tissue imaging, and quantitative analyses.
  
  [Keyword] Intestinal epithelium, organoids, Imaging, Cell Cycle, Proliferation, Differentiation, Systems Biology

• Work content and job description

  After consulting with the team leader, you will be engaged in experiments related to the following themes.:
  
  (1) Mouse intestinal epithelial cell proliferation and differentiation, (2) Mechanical sensing in mouse intestinal epithelium, (3) Development of fluorescent reporters using protein structure modeling, etc.
  
  We welcome individuals who are enthusiastic about leveraging the strengths of our team and introducing new perspectives and methodologies into our research. Please feel free to contact Team Leader Yumi Konagaya at yumi.konagaya [at] riken.jp. Please replace [at] with @.
  
  The job description may be changed during the contract period or upon contract renewal to the extent described above.

Job description

• Background of the recruitment and description of the project

  [Outline of Laboratory]
  RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes “science of computing, by computing, and for computing.” R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its “core competence in computational science driving science as a whole.” R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS utilizes its expertise to operate the supercomputer Fugaku, developed as Japan's national project, in accordance with relevant ordinances.
  
  The AI for Science Platform Division at R-CCS is working on initiatives like the Computing Platform Pioneering Project for the Advanced General Intelligence for Science Program (TRIP-AGIS, planned to last April 1, 2024, to March 31, 2032), which is part of the interdisciplinary project Transformative Research Innovation Platform of RIKEN platforms (TRIP). Specifically, it aims to link Fugaku and specially developed AI for Science computers at a high level; to promote the construction of computing environments and management structures best suited for development, use, and application of generative AI models for scientific research; and to research new computing principles that will realize the sophistication, increased speed, and energy-reduction of operational processing, thereby leading to the development of highly trustworthy AI for scientific research, and to the use and application of scientific research in a variety of ways.
  
  [Keywords]
  AI in science research, infrastructure model, generative AI, automation in research

• Work content and job description

  The Director of the AI for Science platform Division is responsible for overseeing the division's activities aimed at promoting AI for science and science by AI and creating new scientific fields, with the goal of establishing the division as a hub for these efforts. This includes leading the activities related to the construction of the AI for Science platform, centered on the "Computational Infrastructure Development Project" within TRIP-AGIS.
  The detailed description is below.
  
  -R&D
  -Management (budget, status management, public relations, hiring/human resources, etc.)
  -Domestic and international collaboration and coordination of the division
  -Other matters necessary for the operation of the division
  
  The job description may be changed during the contract period or upon contract renewal to the extent described above.

Job description

• Background of the recruitment and description of the project

  [Outline of Laboratory]
  RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes “science of computing, by computing, and for computing.” R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its “core competence in computational science driving science as a whole.” R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS utilizes its expertise to operate the supercomputer Fugaku, developed as Japan's national project, in accordance with relevant ordinances.
  The AI for Science Platform Division at R-CCS is working on initiatives like the Computing Platform Pioneering Project for the Advanced General Intelligence for Science Program (TRIP-AGIS, planned to last April 1, 2024, to March 31, 2032), which is part of the interdisciplinary project Transformative Research Innovation Platform of RIKEN platforms (TRIP). Specifically, it aims to link Fugaku and specially developed AI for Science computers at a high level; to promote the construction of computing environments and management structures best suited for development, use, and application of generative AI models for scientific research; and to research new computing principles that will realize the sophistication, increased speed, and energy-reduction of operational processing, thereby leading to the development of highly trustworthy AI for scientific research, and to the use and application of scientific research in a variety of ways.
  Of the Division’s 6 units, the Material Science Application Interface Platform Development Unit conducts research on the integrated workflow technologies of foundational models and
  ※ For this continuance, please refer to “Job Posting URL”.
  
  [Keywords]
  Materials,Molecule,AI

• Work content and job description

  We are recruiting talent to proactively develop materials/physical and chemical properties systems that will allow large language models’ (LLMs) code generation abilities to be used for scientific productivity, by combining materials science, artificial intelligence, high-performance computing, and software development. Professional duties may include the following examples:
  
  (1)Verification, reconstruction, and improvement of quantum chemistry/materials simulation software for the development of LLM-based systems.
  (2)Development of an automated quantum chemistry and materials simulation/experimental platform through linking of LLMs and supercomputers.
  (3)Development of AI technologies to transform scientific literature into quantum chemistry and materials software simulation functions. For example, generation of electron-correlation code.
  
  The job description may be changed during the contract period or upon contract renewal to the extent described above.

Job description

• Background of the recruitment and description of the project

  [Outline of Laboratory]
  RIKEN Center for Computational Science (R-CCS), led by Center Director Satoshi Matsuoka, is an international hub for computational science that promotes “science of computing, by computing, and for computing.” R-CSS positions the technology in which RIKEN has strengths (R-CCS technology) and the software developed by RIKEN that contributes to science, technology, industry, and society (R-CCS software) as its “core competence in computational science driving science as a whole.” R-CCS aims to develop these technologies, disseminate them domestically and internationally, and produce results. In addition, R-CCS utilizes its expertise to operate the supercomputer Fugaku, developed as Japan's national project, in accordance with relevant ordinances.
  The AI for Science Platform Division at R-CCS is working on initiatives like the Computing Platform Pioneering Project for the Advanced General Intelligence for Science Program (TRIP-AGIS, planned to last April 1, 2024, to March 31, 2032), which is part of the interdisciplinary project Transformative Research Innovation Platform of RIKEN platforms (TRIP). Specifically, it aims to link Fugaku and specially developed AI for Science computers at a high level; to promote the construction of computing environments and management structures best suited for development, use, and application of generative AI models for scientific research; and to research new computing principles that will realize the sophistication, increased speed, and energy-reduction of operational processing, thereby leading to the development of highly trustworthy AI for scientific research, and to the use and application of scientific research in a variety of ways.
  Of the Division’s 6 units, the Life and Medical Science Application Interface Platform Development
  ※ For this continuance, please refer to “Job Posting URL”.
  
  [Keywords]
  Integrated Modeling,Data Assimilation,Molecular dynamics simulation,Machine Learning, Bayesian Statistics

• Work content and job description

  Conduct research and development on the structure and dynamics of biomacromolecules, which are both responsible for maintaining life activities and related to diseases, constructing an app interface platform with uses in life science and medical science research. This includes a variety of research topics instrumental in the AI for Science Platform, such as those listed below and many others.
  
  -AI-based technology that combines image data obtained from advanced experimental methods developed in recent years such as High-Speed AFM, Cryo-EM/ET, and state-of-the-art microscopy techniques with the three-dimensional structures of biomacromolecules
  -App interface and workflow technologies for combining various measurement data with the molecular structure and dynamics of biomacromolecules
  -App interface platform for connecting AI and software developed for scientific research using high-performance computers
  
  The job description may be changed during the contract period or upon contract renewal to the extent described above.

Job description

• Background of the recruitment and description of the project

  The Prediction Science Laboratory pioneers a new science of prediction as the 5th paradigm fusing the computational science (3rd science) and the data science (4th science) through tight collaborations with Data Assimilation Research Team, RIKEN Center for Computational Science, led by the same PI Miyoshi and located at the same place, as well as other collaborators within and beyond RIKEN. Weather prediction is probably the most successful example of prediction by modern science by putting together human knowledge of different areas such as information and communications technology, supercomputing, mathematical modeling and simulation, sensing, and applied mathematics of dynamical systems and uncertainty quantification (UQ). Data assimilation integrates simulation and real-world data and plays a central role in numerical weather prediction. Various types of simulations beyond weather became more and more realistic due to advances of high-performance computation technology. In addition, information revolution brought the current era of Big Data and IoT (Internet of Things). The Prediction Science Laboratory will pioneer the new “Prediction Science,” the 5th science fusing the computational science and the data science, and will bring the success of weather prediction to various fields.
  
  Keywords:Prediction, Data Assimilation, Simulation, Cyber-Physical, Society5.0, Uncertainty Quantification, Topological Data Analysis

• Work content and job description

  This public call is for a research position in the project titled “Implementing real time forecasting for disease prevention and control using phenomenological bottom-up models” (PI: Professor Hiroshi Nishiura, Kyoto University, Co-PI: Dr. Takemasa Miyoshi, R5-11) which is part of the research area 'Creation of Mathematical Foundation for Prediction and Control' (Research Supervisor: Professor Motoko Kotani, Tohoku University) under the Strategic Basic Research Programs (CREST). The research involves conducting real-time spatiotemporal predictions of weather data and improving heatstroke countermeasures.
  
  Specifically, the project aims to implement real-time predictions to forecast the risk of heatstroke occurrences by utilizing weather data with a spatial resolution of 1 km x 1 km, which is the spatial resolution of heatstroke observation, for the prediction and control of heatstroke at this spatiotemporal level. While leveraging weather model prediction data from the Japan Meteorological Agency (with resolutions of 5 km x 5 km for the mesoscale model and 2 km x 2 km for the local model), the project faces the challenge of enhancing this resolution to 1 km x 1 km. This will involve researching methods to run a 1 km x 1 km weather model or using image processing AI techniques such as super-resolution or statistical models to achieve higher resolution. In cases where high-resolution temperature observations are available, the research will also explore data assimilation techniques to utilize them. The research will focus on achieving bidirectional predictions of weather and heatstroke by utilizing weather forecasts based on 1 km x 1 km resolution and integrating heatstroke patient transport data.
  
  Our laboratory is also promoting the RIKEN’s 'Prediction for Science' project and the theme 'RIKEN Prediction Science' within the Transformative Research Innovation Platform of RIKEN platforms (TRIP) program. We are act
  For this continuance, Please refer to "job posting URL

Job description

• Background of the recruitment and description of the project

  Interdisciplinary research in the general field of mechanical engineering. We need a researcher who should be able to contribute to solving social issues, including electronics, life science, environment and energy, based on their knowledge of mechanical engineering.

• Work content and job description

  【仕事内容・職務内容】
  Research: Mechanical Engineering
  
  Subjects:
  [Doctor course]Study on Mechanical Engineering
  [Master course] Advanced Seminar on Mechanical Engineering, Mechanical Engineering related subject
  [Undergraduate course] Mechanics, Subjects related to Mechanical Engineering, Seminar of Mechanical Engineering, and other related subjects