11 machine-learning "https:" "https:" "https:" positions at The California State University in Mexico
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management. Candidates with interests in the application of Artificial Intelligence and Machine Learning, or Logistics Education are especially encouraged to apply. International scholars are welcome and
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Systems, Computer Science or Electrical or Computer Engineering, or a closely related field, with all degree requirements met. Preferred qualifications: Strong understanding of statistical machine learning
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Economics, Forecasting in Big Data and Machine Learning, and AI Dynamic Modeling. The successful candidate will be expected to teach graduate and undergraduate courses, including electives and core
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teaching in Artificial Intelligence and related areas. Relevant areas include, but are not limited to, machine learning, generative AI, natural language processing, computer vision, reinforcement
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. Preferred qualifications: Postdoctoral or equivalent research experience. Demonstrated expertise in developing or substantively integrating artificial intelligence, machine-learning, or data-driven
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-performance scientific computing; data assimilation; scientific machine learning and AI applied to wildfire prediction; smoke and fire-atmosphere interactions; and experimental or observational approaches
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structural metals/ceramics, artificial intelligence/machine learning applications, and semiconductor materials. Experience mentoring undergraduate and/or graduate research students. Experience
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, computer architecture, SOC and ASIC design, artificial intelligence and machine learning, computer vision, embodied AI, cybersecurity, cyber-physical systems, cloud computing, software design, and
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preference will be given to applicants who are advancing artificial intelligence and/or machine learning technologies in aerospace engineering. The current areas of expertise of the Department faculty
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in one or more areas such as robotics, control systems, automation, physical AI, sensors, embedded systems, or human–machine interfaces. The successful candidate will demonstrate potential for