RSS feed source: National Institute of Health

The Department of Mechanical Engineering at Keio University, Japan invites applications for a tenured faculty position at the level of Assistant or Associate Professor to start on April 1st, 2026. The appointment is contingent upon completion of the Ph.D. degree. We are seeking researchers with expertise in mechanical and civil engineering, or related disciplines who apply advanced theoretical, computational, and/or experimental methods to study global problems including large-scale environmental and climate phenomena. Areas of interest include, but are not limited to:

Environmental fluid mechanics Atmospheric or oceanic modeling Hydrology and water resources engineering Climate system dynamics Infrastructure resilience under climate change Geoenvironmental engineering Computational modeling of environmental systems

The successful candidate is expected to:

– perform internationally recognized research as a principal investigator in collaboration with graduate and undergraduate students, and colleagues in the department,

– teach with passion undergraduate and graduate

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RSS feed source: National Institute of Health

Job Description

Required Knowledge/Skills, Education, and Experience:

Familiar with Python and LLM Good at writing Obtained Master or bachelor’s in engineering or health science or related area.  Strong practical background in knowledge graph, data analytics and health informatics.  Experience with machine learning libraries such as PyTorch, TensorFlow, Keras  Strong written and verbal communication skills in English is required Strong collaboration skills and ability to thrive in a fast-paced environment Flexibility and adaptability to work in a growing, dynamic team

Department

Machine Learning and Data Analytics

General Submission Guidelines: 

Please submit an online application to be considered a candidate for any job at Stevens. Please attach a cover letter and resume with each application. Other requirements for consideration may depend on the job. 

Still Have Questions? 

If you have any questions regarding your application, please contact

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RSS feed source: National Institute of Health

Job Description

Multiple openings are available for fully funded Ph.D. students at the Department of Mechanical Engineering at the University of Kansas (KU) for the Fall 2025 and Spring 2026. Candidates with strong interests in leveraging artificial intelligence and scientific machine learning to advance data-driven design and computational mechanics for the innovation of material-structure systems are encouraged to apply. Candidates with experience in topology optimization, reduced-order models, finite element analysis, continuum mechanics, fracture mechanics, dynamics analysis, microstructure reconstruction, uncertainty quantification, and scientific machine learning are especially desirable for the positions.

Qualifications

B.S. degree in mechanical engineering, engineering mechanics, civil engineering, aerospace engineering, or related fields (M.S. degree is preferred). Experience in using CAE software, e.g., Abaqus, Ansys, Nastran, and/or Altair. Experience in developing computational mechanics and/or machine learning codes. Proficiency in programming languages: MATLAB, Python, JAX, and/or C++. Publication record in international journals

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