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-Mechanical System Design, or a related field Experience with modelling of mechanical and hydraulic systems Ability to develop and analyze dynamic system models using MATLAB/Simulink and Python or similar tools
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-physical systems, energy systems, or smart buildings Good programming skills (Python, MATLAB, or similar) Excellent communication skills in English Who we are The PhD Fellow will be affiliated with
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in Python, C++, MATLAB/Simulink, ROS, Gazebo or other simulation and robotics frameworks. Experience with CAD/CAE, CFD, digital twins, embedded systems or experimental data analysis is an asset
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using environments like MATLAB or Python, which you apply to tasks such as optimisation, parameter studies, or processing of measurement data. You enjoy working experimentally with antennas and are
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frameworks. Further, it would be advantageous for applicants to demonstrate proficiency in at least one scientific programming environment such as Python, MATLAB, or R. A good understanding of hydrodynamic
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analysis in software such as R, Stata, Python or similar tools. You are comfortable working with datasets, developing statistical models and documenting your analytical choices. Experience with experimental
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biostatisticians. Your competencies You should demonstrate a strong computational profile and hands-on experience working with complex datasets, alongside high proficiency in programming languages such as Python, R
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techniques is an advantage, and experience in human pain research is a prerequisite. An opportunity to learn new advanced analysis techniques (e.g., in Matlab, R, or Python) if relevant for the task. Write up
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, or Python. You will also be able to shape your own research. This includes primary data collection through surveys, or qualitative or quantitative interviews. Working as a PhD student requires the ability