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machine learning, big data analysis and advanced computing; One year of post-PhD relevant experience in research or industry will be an advantage; Experience of working in an international environment will
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PhD* in a topic such as animal acoustics, machine learning, quantitative ecology, quantitative biology, signal processing or similar. Evidence of the ability to conduct high-quality research and write
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Our group The scientific programmer will be embedded in the Massivizing Computer Systems (MCS) group, which focuses on research in distributed computing systems and ecosystems, and currently spans
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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control
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will house 2 PhD scholars and 3 Postdoctoral Scholars and will run between 2024-2029. It carries international collaborations and publication programmes, and will maintain a documentational project on
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both software and hardware. The chance to work with innovative technologies such as AI/Machine Learning. A pleasant and informal working environment with plenty of room for initiative. Job Requirements A
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, together with relevant expertise in areas related to Artificial Intelligence, such as: Foundational Models, Algorithmic Research Machine/Deep Learning Computer Vision Parallel & Distributed Computing Control