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background in robotics, autonomous systems, and/or control theory. The candidate should have good programming skills in Python and/or C++, and prior experience with robotics software frameworks such as ROS/ROS
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. sonar, DVL, SBL, IMUs, pressure sensors) is particularly relevant. Technical computing skills: Proficiency in programming (e.g. Python and C++). Familiarity with robotics software frameworks such as ROS
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advance, CLASSIQUE focuses on a critical challenge: how to evolve classical communication networks to support both traditional data and the unique requirements of quantum information systems (https
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, optimization, deep learning, or information theory; Experience in programming, e.g., in C++, Python or Matlab. Qualification requirements PhD stipends are allocated to individuals who hold a Master's degree. PhD
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Quantification Python and ML frameworks (TensorFlow, PyTorch, JAX) Reproducible and open-science practices Experience with geospatial, environmental, or climate data is advantageous but not required. What We Offer
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experience in several key languages, e.g., Rust, C++, or Python (not MATLAB), algorithms, and machine learning is necessary as well as excellent communication skills in English. Applicants with experience in
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fields Strong programming skills (e.g., Python) Strong motivation to contribute to cutting-edge research in AI and cybersecurity. Excellent written and verbal communication skills in English. The ability