Sort by
Refine Your Search
-
Listed
-
Category
-
Country
-
Employer
-
Field
-
mechanics, numerical methods (BEM and FEM) computing skills (e.g. C++, Python, ... ) good knowledge of the English language Admission Requirements Engineering diploma (Dipl.-Ing.), Master of science (M.Sc
-
; · Solid background in power electronics and magnetic component design; · Experience with modelling and simulation tools (such as MATLAB/Simulink, FEM software like COMSOL or ANSYS Maxwell
-
, CUDA, etc. Experience with numerical methods such as FDTD, FEM, BEM, etc. Basic knowledge of numerical linear algebra concepts, such as matrix factorization and decomposition algorithms. Familiarity with
-
, or multi-physics simulation. Experience and skills · Ideally 3–5 years of experience (including PhD) in one or more of the following: o Finite Element Modelling (FEM), o Multiphysics
-
skills include: Interest or background in composite materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a
-
materials, particularly in modelling and/or testing Basic understanding of finite element methods (FEM); any exposure to impact or burst mechanics is a plus Familiarity with FE simulation tools such as ANSYS
-
computation, with potential links to hydrogen engine research and broader digital twin technologies. You will gain expertise in: Computational modelling of materials (e.g., FEM, crystal plasticity, or phase
-
material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
-
material models based on advanced ML methods, and to seamlessly integrate these models into Finite Element Modelling (FEM) to replace expensive and time-consuming experimental procedures, thereby enhancing
-
in Adelaide and Melbourne. Expected outcomes The Finite Element Method (FEM) is the current dominant approach for modelling real-world signals but requires substantial, uniformly distributed data. Real