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-sensitive networking). The work is funded by a Finland-US joint project in partnership with MIT, Stevens Institute, Nokia Bell Labs, and pilots with leading Finnish companies. Supervisor: Assistant
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coursework (examples): Computational physics/scientific computing and numerical methods for PDEs High‑performance computing (parallel distributed programming, GPU programming) Astrophysical fluid dynamics
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authenticity of generated and watermarked audio data, improving content-based audio watermarking, and evaluating robustness against removal, spoofing, adversarial attacks, and realistic downstream processing
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communications, statistical signal processing, and software-defined radio experimentation . Depending on your background and interests, your research may emphasize theoretical modelling and algorithms
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looking for a self-motivated colleague who is expected to: Hold a Master’s degree, with an excellent study record, in Electrical Engineering, Electronics, Microelectronics, Signal Processing, or a
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community. The School of Chemical Engineering ( CHEM School ) is one of the six schools of Aalto University. It combines natural sciences and engineering in a unique way. The Atomic Scale Processing group
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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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(but not required): experience with surface‑sensitive techniques, synthetic and preparative organic chemistry, lignin analytics, colloids, polymer processing, programming (e.g., Python/R/Matlab
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lasers and/or LEDs) Experience/interest on III-V device clean room processing, tools and process development Experience/interest in materials and characterization techniques and optical encapsulation
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]. Selected references [1] J. Martinelli. “Position: Biology is the Challenge Physics-Informed ML Needs to Evolve”. In: Advances in Neural Information Processing Systems. Vol. 38. OpenReview . 2025. [2] J