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knowledge of production engineering technologies and manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab
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manufacturing systems for subtractive manufacturing. Strong knowledge of process monitoring, manufacturing metrology, and programming tools such as Matlab is highly desirable. You should have good analytical
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control algorithms for whole system efficiency optimisation. Design and simulate power management circuits using tools like SPICE or MATLAB/Simulink. Prototype and test circuits with real energy harvesters
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of AI/ML will be an added advantage. Proficiency with optimization tools and software like GAMS, CPLEX Proficiency with programming languages preferably Python, Matlab Fluency in communication and
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and/or atom probe tomography Experience in image processing Experience in programming with Python or Matlab is strongly desired Team spirit as well as excellent communication and organizational skills
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fibre-optic sensing technologies and structural health monitoring Skills in data processing and numerical tools such as MATLAB or Python A high level of motivation, intellectual curiosity, and the ability
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, or Matlab). The student should also have a basic knowledge of statistics and an interest and enthusiasm for weather-energy and climate energy links. Support: The student will have weekly meetings with
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relevant Master's degree (or exceptional Bachelor's) in biomedical/mechanical engineering, materials science, or computer science, with experience in mechanical design/textiles and programming (Python/MATLAB
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overall or higher or equivalent. Have an experience with analytical and numerical solution methods for partial differential equations and working knowledge of Matlab and Latex. A full list of selection
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publication record #excellent programming skills in Python or at least one other scientific programming language (e.g. FORTRAN, C, Matlab, R) #good knowledge of English (written and oral) #high degree