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transport measurements Familiarity with the theory of magnetism Proficiency in MATLAB/Python and LabVIEW for data acquisition and analysis Good written and oral communication skills Ability to work
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. Analytical Instrumentation: Expertise in material characterization (XRD, SEM, EDX, UV-Vis spectroscopy) and electronic testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB
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testing (Source Measure Units). Data Analysis & Design: Skills in Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications
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Python, MATLAB, or LabVIEW for data acquisition, alongside familiarity with optical simulation or CAD software. Required Qualifications Educational Requirements: A Ph.D. in Chemical Engineering, Materials
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contributions to peer-reviewed journals. Experience of programming (Python or MATLAB) for device control, data acquisition and analysis. A record of high-quality publications as leading author, as appropriate
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at the university level; Expertise in CFD software (OpenForm, Ansys Fluent) andFEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng
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sensing, or satellite data interpretation would be an advantage. The candidate should also have a solid background in programming (Python, R, or MATLAB) and data visualization, as well as the ability
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, version control) and numerical workflows. Experience programming for data analysis and model workflows (e.g., Python, MATLAB; FORTRAN/C familiarity for model configuration). Demonstrated verbal and written
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Expertise in FEM software (ABAQUS, ANSYS, SAP2000) and coding (Python/MATLAB). Professional engineering licensure (HKIE/CEng) or eligibility is a plus. Candidates for Professor or above should have
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semiconductors. You should have experience working in a laboratory environment, along with basic programming and data analysis skills (Python, MATLAB, LabVIEW). High motivation, very good English or German skills