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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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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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The Department of Computer Science and Engineering (CSE) at the University at Buffalo (UB) invites candidates to apply for multiple positions as Assistant Professor, Associate Professor, or Full Professor. We are looking for candidates who can operate effectively in a team environment and in a diverse community of students and faculty and share our vision of helping all constituents reach their full potential.

The successful candidates will be expected to teach courses at the graduate and undergraduate levels, mentor graduate students, advise students at all levels, and maintain an active research program. The successful Associate Professor or Full Professor candidates should also have a record of scholarly accomplishments, teaching experience, and a sustained externally funded research program. All areas of research expertise that complement the existing research strengths in the department will be considered. Preference will be given to candidates in the following area:

Systems (broadly

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Job ID: 255168

Mechanical and Aerospace Engineering Post-Doc to Tenure Track Fellow
University of Dayton <!– ATTACHED PICTURES:   –>

We invite applications for a postdoctoral research fellow with prior experience in spacecraft system design and/or spacecraft technology development. These above-mentioned engineering research specialties place the candidate at the center of a growing spacecraft technology development group at the University of Dayton and the University of Dayton Research Institute (UDRI). This opportunity is a two-year postdoctoral research position that may transition to a tenure-track faculty position at the end of the second year per relevant policies of the hiring unit and University of Dayton, dependent upon demonstrated

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