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RF circuits in Python Validate the developed models against circuit simulations and measurements Perform hardware-algorithm co-design for AI-driven 6G transmitters Publish and present your results at
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with signal processing, time series analysis or machine learning Programming skills in MATLAB and/or Python What we offer The position is fixed term and follows Aalto's standard 2+2 model. It will be
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. Your experience and ambitions The position requires excellent programming skills in Python with demonstrable familiarity with PyTorch, experience in working on shared codebases, excellent applied math
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(Python). What we offer Fully funded doctoral researcher’s position at Aalto University, which is consistently ranked among the top universities in Europe; The position is fixed term and follows the
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advantage: Experience with C, Python, MATLAB, or similar programming languages. Experience in scientific writing and academic publishing Students in the final year of their master's programme are also welcome
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strong interest in the following areas is highly desirable: Programming skills (MATLAB, Python, or C/C++) Real-time and instrumentation platform (dSpace, LabView) Microscopic measurements (X-Ray, EBSD
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skills (Python/C++, ROS valued); fluent English. Position-specific plus: mobile robot perception, SLAM, motion prediction, and field-robotics experience with willingness to work at industrial sites in
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and/or magnetohydrodynamics Radiative transfer in astrophysics Machine learning or data analysis for physical sciences Strong programming skills (e.g., C/C++/Fortran and Python) and familiarity with
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before the application deadline. Have a solid background in quantum computing and quantum algorithms, sufficient to conduct research on the topic. Have programming skills (e.g., Python) and
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learning and generative models. Programming skills suitable for modern machine learning research, preferably including Python and deep learning frameworks. Interest in one or more of the following areas