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experience and solid expertise in one or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT
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Intelligent Control Systems RESPONSIBILITIES Develop industrial process digital twin models based on the fusion of mechanistic and data-driven approaches. Develop predictive maintenance and fault diagnosis
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language models, reinforcement learning, agent learning, robotic control; (4) quantum materials simulation, density functional theory, catalysis and transition-state theory, molecular dynamics; (5
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or more of the following areas: Advanced Process Control and Optimization Digital Twin and Modeling & Simulation Predictive Maintenance and Fault Diagnosis Industrial IoT and Edge Computing Good programming
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appliances). Explore the integration of large language models and reinforcement learning for real-time optimization, fault self-recovery, and production scheduling in industrial processes. Publish research
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modeling Qualifications Applicants should have a Ph.D. in mathematics, applied mathematics, computer science, engineering, computational science, physics, or a closely related field by the start date
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generating functions, and discovered algebraic P-fields, initiating an algebraic-geometric construction of A-model Landau–Ginzburg string theory. His recent interests include the mathematical formulation
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, -- systems and control theory, -- algebraic computation theory and cryptography. The position is for two years. Successful applicants are expected to conduct research full-time in areas mentioned above and no
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of industrial control security, artificial intelligence security and big data security. It is expected to form research results with both theoretical and applied value. Serve the talent training and cyberspace