12 machine-learning-"https:" "https:" "https:" "https:" "https:" positions at Villanova University
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aspects of research, conducting field research and development of physics guided machine learning models. The primary project focuses for this Part Time Research position deepening the understanding
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real-world challenges. The club will run January 2026 – June 2026, meeting two to three afternoons per week after school in Lansdale, PA. AI/Machine Learning Mentors will help design and lead engaging
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or Mechanical Engineering, Data Science, or a related field Work Experience Demonstrated experience with Artificial Intelligence and/or Machine Learning (academic, research, or industry). Work Skills (e.g
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independently under general supervision. Comfortable collaborating with stakeholders across departments/functional areas. Able to quickly learn and stay abreast of detailed curricular and program features in
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for Spring 2026. The successful candidate will teach undergraduate courses in Electrical and Computer Engineering. Additional information about our undergraduate curricula can be found at the following
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motivated with strong written and oral communication skills. Preferred Qualifications: Experience with first-principles calculations, DFT, Machine Learning, HPC. The individual is expected to actively pursue
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, and community-building efforts that promote entrepreneurial learning across campus. A central responsibility of this position is the coordination and administration of the E2SI Abroad program, which
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, including but not limited to: artificial intelligence and machine learning, data analytics, and engineering design. Qualified individuals would provide instruction in an engaging lecture format. Villanova is
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, including but not limited to: artificial intelligence and machine learning, data analytics, and engineering design. Qualified individuals would provide instruction in an engaging lecture format. Villanova is
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methodologies generally, machine learning techniques, OR complexity analysis/nonlinear dynamics are particularly well-matched to the opportunity, but applicants with theoretical expertise related to compact