526 machine-learning-"https:"-"https:"-"https:"-"https:"-"Simons-Foundation" positions at Pennsylvania State University
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tackles multidisciplinary topics from signal processing to machine learning to algorithm design with a focus on sensor systems. ARL is an authorized DoD SkillBridge partner and welcomes all transitioning
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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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handling/splicing, lab equipment usage and preferentially, computer controlled-automation/data collection DoD industrial base needs in the area of fiber optics Inherently inquisitive and willing to learn new
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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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. Experience or interest in signal/image processing, object tracking, autonomous control, software development, artificial intelligence, and/or machine learning (deep learning/reinforcement learning) is desired