Job description

• Background of the recruitment and description of the project

  Aqua Regeneration (ARG), a new academic discipline.
  Integration of water-related disciplines focused on regeneration of the Earth's environment, such as water circulation and water-based green hydrogen production and utilization
  ・Boosting research capabilities (both quality and quantity) for SDGs Goal 6 to world level
  ・Solving global water and energy challenges through international co-creation
  ・Combining local problem-solving with economic development

• Work content and job description

  Cutting-edge research in the field of high-entropy compounds based on neural network potential, computational materials science, informatics, and data-science approaches. Candidates are expected to dedicate the effort to the collaborative research with experimental scientists.

Job description

• Background of the recruitment and description of the project

  Our laboratory conducts research aiming to elucidate the molecular mechanisms regulating early human embryogenesis and germ cell development, including their abnormalities, using human pluripotent stem cells and early embryo models.
  We are seeking a faculty member who is highly motivated to engage in both research and education.

• Work content and job description

  1. Promotion of research activities and acquisition of external funding
  2. Support for academic and administrative duties related to laboratory management
  3. Teaching (lectures and practical training) for undergraduate medical students
  4. Research supervision of master's and doctoral graduate students
  5. Contribution to university and faculty committee activities

Job description

• Background of the recruitment and description of the project

  Research Center for Hydrogen Industrial Use and Storage (HYDROGENIUS) at Kyushu University is seeking a postdoctoral researcher. The successful candidate will engage in interdisciplinary research at the intersection of materials science and data science. Possible research topics include:
  ・ Design, development, and characterization of high-strength steels with resistance to hydrogen environments
  ・ Elucidation of hydrogen embrittlement mechanisms through fracture mechanics testing, microscopic observations, advanced material characterization, and/or numerical simulations
  ・ Development of novel evaluation methodologies using machine learning and image analysis
  Experience in one or more of these areas is desirable but not required. We welcome applicants from diverse academic backgrounds who are enthusiastic about pioneering interdisciplinary research in structural materials and data-driven approaches.

• Work content and job description

  The successful candidate will engage in interdisciplinary research at the intersection of materials science and data science. Possible research topics include:
  ・ Design, development, and characterization of high-strength steels with resistance to hydrogen environments
  ・ Elucidation of hydrogen embrittlement mechanisms through fracture mechanics testing, microscopic observations, advanced material characterization, and/or numerical simulations
  ・ Development of novel evaluation methodologies using machine learning and image analysis