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Recruitment of Intelligent Multiscale Process Engineering Group at Eastern Institute of Technology
Eastern Institute of Technology, Ningbo ("EIT", Tentative) is an emerging private non-for-profit research university funded by the Yu Renrong Education Foundation and highly supported by the governments of Zhejiang Province and Ningbo City.
EIT aims to foster top-notch STEM scholar with emphasis on innovative research of core “stranglehold” technologies and teaching in science, engineering, information technology and business management, supplemented by fields of Humanities and Social Sciences. EIT is committed to channeling industrial and application resources to the foundational research, as a means to to level up foundational research that could play a vital role in independent innovative capabilities and core competitive edges of the nation.
Here at the Intelligent Multiscale Process Engineering Group at the Eastern Institute of Technology, we are a diverse research group aiming to study the development and implementation of numerical modelling methods and artificial intelligence techniques for a variety of different Chemical Engineering applications. We are operating out of the Eastern Institute of Technology (Eastern Institute of Advanced Study) to establish high-quality multiscale modelling and AI development research. Our team in particular seeks to develop novel reliable AI systems and hybrid (AI-embedded) multiscale models to capture a wide variety of different chemical processes and further advance the bounds of human knowledge within these fields. As part of our team, you would have the opportunity to contribute to this reality and establish your own roots within academic research.
Research Interests:
Intelligent Intercommunicating Multiscale Modelling
Reliable AI Applications in Chemical Engineering: Transparency Exploration and Analysis
AI-assisted Precise Process Monitoring and Control of Fluidization Systems
Multiscale & Hybrid Modelling for Sessile Droplet Spreading and Superhydrophobic Surface Development
Preprocessing and Analysis of Industrial Generated Data