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【Talent Pool】Research & Teaching Matchmaking | Interdisciplinary Scientific Modeling Scholar(with Ga₂O₃ Research Focus)

日期:2026-02-07阅读:28

      Alliance would like to introduce an experienced research- and teaching-oriented scholar whose core expertise lies in scientific modeling and multiphysics simulation, and to assist in connecting him with suitable academic positions and collaborative opportunities at universities and research institutes.

      His research interests are not confined to a single material system or specific application. Instead, he has long focused on modeling methodologies themselves—how complex problems in physics, chemistry, and engineering can be abstracted into computable models, and how numerical simulation and uncertainty analysis can be used to derive results that are both interpretable and transferable. His work is characterized by a strong interdisciplinary and methodological orientation.

 

Research Expertise and Core Competencies

      Mathematical modeling and finite element analysis of scientific and engineering problems

      Modeling of stress, diffusion, structural, and optical properties in semiconductor(ex. Gallium Oxide) thin films and porous structures

      Sensitivity modeling and uncertainty quantification in electrochemical and nanoscale sensing systems

      Numerical simulation of multiphysics coupled problems (mechanical–optical–electrical–chemical)

      Advanced use of MATLAB, COMSOL Multiphysics, Maple, and FlexPDE for modeling and simulation

      His research results have been published in a range of international journals. He typically works in close collaboration with experimental teams, with particular emphasis on model–experiment correspondence, parameter inversion, and physical mechanism interpretation. His profile is well suited for theoretical and computational support roles in materials science, physics, electronic engineering, energy, and sensing-related research groups.

 

Teaching and Educational Innovation

      In teaching, he has extensive experience delivering courses in mathematical and computational modeling, emphasizing a problem-driven modeling mindset rather than tool-oriented instruction. Course topics include oscillatory systems, diffusion and heat conduction, multibody dynamics, and biological/ecological models (e.g., the Volterra–Lotka system), with systematic integration of modern computational tools.

      He is currently upgrading his course framework by combining classical modeling approaches with:

      MATLAB / Maple / COMSOL / FlexPDE

      Interactive virtual laboratories developed with Unity

      The goal is to build a multidisciplinary virtual modeling laboratory platform applicable to students from physics, engineering, biology, environmental science, and related fields.

      This teaching approach has already been implemented at multiple universities and received positive student feedback. It is particularly suitable for departments aiming to strengthen students’ modeling capability, computational thinking, and research transfer skills.

 

Matching Preferences

      ●Geographic preference: Universities and research institutes in continental Europe; if no suitable opportunities are available, positions in other regions may also be considered.

      For further information or potential matchmaking, please feel free to contact us. We will be happy to facilitate follow-up communication.

      Contact:Molly Wang

      Email:wmh@agoa.top