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publications and conference presentations For further information please contact Prof. Stéphane Bordas ( ) with CC to Dr. Jakub Lengiewicz ( ). Your profile A Master's degree in Applied Mathematics
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into active learning frameworks Explore automated dataset generation for molecules and materials Contribute to open-source tools for automated MLFF training Your profile Essential qualifications: Master's
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strong interest in trustworthy software engineering and data-driven developer tooling. More precisely: The candidate should hold a Master's degree in Computer Science, Software Engineering, Artificial
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Qualification: Master in Computer Science and/or Cybersecurity or equivalent degrees with expertise in at least one of the above areas (dependability, real-time systems, operating systems
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to contribute to other activities and tasks within the ENER-G project. The main outcome(s) of the PhD will be novel optimisation models and solution algorithms that will substantially advance the state-of-the-art
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language models on structured data PhD Student Role: Under the direction of their supervisor, the candidate will carry out research activities and write a thesis with the main goal of obtain a PhD in the
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activities and write a thesis with the main goal of obtain a PhD in the area of Software Engineering. This includes conducting literature surveys and establishing state-of-the-art; developing necessary