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consumption on complex algorithmic or cognitive tasks. This project is part of the ELEVATE MSCA Doctoral Network (https://www.elevate-dn.eu/) and co-supervised by our partners at the university of
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demonstrate examples of your independence in research. It is also appreciated if you also have some pedagogical experience. Knowledge of and skills in MPI and GPU programming, along with experience
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. The project is conducted in collaboration with the deep probabilistic programming group of Thomas Hamelryck : https://di.ku.dk/english/research/groups/machine-learning-in-biology/?pure=en/persons
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Modeling and Simulation: Utilizing an in-house simulation code (Python/GPU) based on the Discrete Element Method (DEM). Contributing to model development: integrating new physical building blocks
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( ABD ) status will also be considered (Degree Conferral in Process) Certifications/Licenses Required Knowledge, Skills, and Abilities Experience in GPU programming Experience working in interdisciplinary
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computing or AI engineering, with hands-on experience delivering and supporting production software, data-intensive workflows or computing services Strong programming skills and practical experience with
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infrastructure for deep learning, speech, and audio research, including Aalto University’s large-scale scientific computing cluster with CPU and GPU nodes, access to CSC’s national computing infrastructure
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junior researchers All applicants should have: • A solid foundation in machine learning, deep learning, and computer vision • Strong skills in applied mathematics, probability, and programming, such
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quantification, time-series modelling, or multimodal data analysis. Excellent programming skills in Python and experience with deep-learning frameworks (preferably PyTorch). Experience developing
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team and supported by cutting-edge HPC and GPU infrastructure, you will contribute to internationally leading research, publish in high-impact journals and present your work at major scientific