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; measurement system characterization, e.g., validating platform performance such as dynamic range, linearity, phase noise and measurement uncertainty; automated test & data acquisition, e.g., using Python/MATLAB
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of integrated solutions Experience with digital modelling tools and platforms for power and energy systems (e.g., EnergyPlan, DIgSILENT, or similar). Strong programming skills in Python, MATLAB, or similar
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and analytical skills, including quantum theory, materials science and physical modelling Experience in programming, e.g., in Python or Matlab. Experience with quantum simulators, such as NetSquid, is a
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. The candidate should ideally have experience or interest in one or several of the following areas: A solid foundation in programming and system development, particularly using Python and machine learning
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should possess experience in robotics, drones, UAVs, multi-robot systems or smiliar, and practical applications of LLMs, agents, RAG, MCP, or fine-tuning. Proficiency in software development (Python, C/C
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learning, data science, atmospheric sciences, geophysics, or related fields. Solid numerical modelling and programming skills (e.g., Python, TensorFlow, scikit learn) are essential, along with a basic
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for predictivemodelling and large foundation models for earth systems. Skillsetssuch as programming in Python/R, Google Earth Engine, JavaScript, database management environments, Geographical AI, and machine learning
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Experience with scientific programming (e.g. in python) Experience with modelling of disordered materials is seen as an advantage Experience with automated computational workflows is seen as an advantage
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programming, e.g., in C++, Python or Matlab. Who we are The successful candidate will be hosted by the Section on AI & Sound. This section is led by Prof. Jan Østergaard. A dedicated supervisory team composed
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communication. Strong competences in mathematical modelling and simulation of flow, heat transfer and dynamic system behaviour, including use of tools such as MATLAB/Python and CFD. Strong hands-on experience