262 machine-learning-"https:"-"https:"-"https:"-"https:"-"U.S" positions at Pennsylvania State University
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., prompt engineering, fine-tuning, agent-based frameworks, or evaluation pipelines); Strong programming skills in Python; Familiarity with machine learning libraries or NLP tools (e.g., PyTorch, Transformers
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of the B.S. in Artificial Intelligence in Fall 2026. Position: Assistant Professor, Civil Engineering + AI Position Summary: Civil engineering is being transformed by AI and machine learning to improve
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intelligence (AI) and machine learning (ML) through automation, design optimization, predictive maintenance, quality control, and many other enhancements with use of AI to produce more efficient manufacturing
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background in one or more of the following areas: dynamics analysis of power systems, machine learning, cybersecurity, renewable energy, microgrids, hands-on experiences on hardware-in-the-loop projects
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, and organize all data from depositions, characterizations, and property measurements. (6) Organize all data and learning into scientific manuscripts, quarterly reports, and presentations. (7) Coordinate
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interdisciplinary team. The final candidate must have a Ph.D. in Materials Science and Engineering, Electrical and Computer Engineering, Physics, Chemistry, or other comparable majors. They should have experience in
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clinicians Qualifications and Requirements: A PhD in Mechanical, Electrical, Biomedical Engineering, or related fields by the start date Prior experience in neural signal processing, machine learning, control
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and narrative) that communicates the lab's focus on Open-Source AI Systems Modeling & Computer Simulation. Develop engaging tutorials, workshop materials, and "project starter kits" to lower the barrier
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/machine learning strategy development – with the ability to design, implement, and evaluate data-driven or AI-based strategies. Graduate student mentorship – providing technical and professional guidance
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) Program Courses within the program, particularly the cornerstone engineering design course, assists students in learning design processes, methods, and decision-making tools while engaged in team-based