About the position
This recruitment aims to pioneer new research methodologies in mechanical engineering by integrating AI, data science, and high-performance computing with numerical simulation and the understanding of physical phenomena. With AI for Science and digital twin technologies as common foundations, the successful candidate will promote cross-disciplinary research spanning robotics, energy and environment, biomedical engineering, and materials, thereby enhancing the Faculty's research and education capabilities.
Work content and job description
Work in:
Education and research in AI and HPC based on mechanical engineering, and supervision of student research
Subjects to be taught:
Undergraduate and graduate courses related to mechanical engineering and computational science
Work experience
Applicants must have knowledge and research experience in at least one of the following areas: AI for Science, physics-informed machine learning, surrogate modeling, digital twins, large-scale numerical simulation, machine-learning-based design and control, or high-performance computing. Grounded in an understanding of physical phenomena in mechanical engineering, they must be motivated to apply AI/HPC across multiple research fields. They should also have an interest in next-generation computing technologies, including quantum computing, and strong potential to establish an independent research area through collaboration with existing fields.
Measures for preventing passive smoking at the workplace
Smoking is prohibited on campus (excluding one designated outdoor smoking area).
Job content supplemental explanation
If there are no suitable applicants, the position could remain empty.
Application documents (specified forms)
様式1_Curriculum Vitae (Form 1).doc
様式2_Research Achievements (Form 2).docx
様式3_Position No. and department (form 3).doc
様式4_List of teaching and academic activities (Form 4).xlsx
Attached documents
Application Form :
Online Submission
(1)Curriculum Vitae (Form 1 available at the “Job posting URL” above)
Selection
Document screening, and interview
After document screening, the shortlisted applicants might be interviewed at Kyoto Institute of Technology. The travel expenses are to be borne by applicant. If any additional submission of paperwork is required, then the costs for that will also be borne by applicant.
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