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methods (Kármán momentum integral method) • Numerical methods for partial differential equations • Iterative solvers for linear systems • Fluent programming in Python and/or C++ • Experience
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Assistant Professor Position in Transient Electromagnetic Signal Processing, Modelling and Inversion
field data acquisition, processing, and interpretation. * Strong programming skills. Advanced Python programming is mandatory; experience with PyTorch, GPU-implementations, or other high-performance
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with complex pre-clinical in vitro and in vivo models. Programming expertise in Python and R is desirable. As a person, you have good interpersonal skills, are inclusive and team-oriented and able
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, powder X ray diffraction, diffuse scattering, phase transitions, and background modeling. Experience of Xray imaging is a bonus. Programming skills, for example Python or similar. Experience with operando
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: Good programming skills in C++ or Python Working knowledge of ROS Publication experience Who we are The Artificial Intelligence in Robotics (AiR) group, led by Dr Andriy Sarabakha, focuses
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. Experience of Xray imaging is a bonus. Programming skills, for example Python or similar. Experience with operando or time resolved experiments, and X ray instrumentation. Ability to work independently with
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methods (e.g., coding in Python/R, working with APIs, scraping data, building or applying models). • Can bridge theoretical insight with concrete technical implementation and empirical analysis. • Is
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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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systems, large language models, agentic AI, or scientific software development, especially in industry or research settings. Strong software engineering skills, proficiency in Python programming, experience
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of the following: A solid foundation in programming (particularly Python) and modern machine learning frameworks (e.g., PyTorch, TensorFlow). An interest in AI security, trustworthy ML, or the reliability of ML