18 machine-learning "https:" "https:" "https:" "https:" "The Open University" positions at Lehigh University in United States
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topology, with an anticipated start date of July 1, 2026. Candidates must have earned a Ph.D. in Mathematics or a related field by the date of employment. The individual hired will be expected to teach
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students, 35 of whom are Ph.D. students. The ISE faculty maintains an outstanding international reputation in a variety of research areas, including data science and machine learning; mathematical
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, Lehigh University has combined outstanding academic and learning opportunities with leadership in fostering innovative research. Recognized among the nation's highly ranked research universities, Lehigh
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or recent Ph.D. in applied/computational mathematics, computational science, chemical engineering, or related disciplines. Ideal candidates will have strong past experience in scientific machine learning
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satisfactory performance and availability of funding. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering
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of Applied/Computational Mathematics. Research topics of interest include numerical methods for scientific machine learning and AI, and their applications to various science and engineering disciplines
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models, molecular modeling and simulations, and/or polymer science are preferred but not required. Strong past experience in scientific machine learning. Terms of Appointment: This is a full-time, one-year
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, misinformation protocol, and a strategic approach to connecting LLMs, machine learning, AI and the future of university digitally generated content. Create opportunities to share information, web governance
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written communication abilities • Detail-oriented with strong organizational skills • Proficiency with computer systems and willingness to learn library software • Ability to work independently and as part
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• Build and maintain relationships with employers and recruiters • Design, lead, and expand experiential learning programs (e.g., internships, career treks, employer-based training) that connect students