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research project Expertise in machine learning Additional expertise in one or more of the following: digital signal processing, statistics, multimodal processing, FAIR data management, music theory
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. The applicant is required to document that the degree corresponds to the profile of the post. Experience with one or more of the following: data curation, digital signal processing, music information retrieval
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reflect on AI for, through, and in creative practices. MishMash researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems and educational strategies, and
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philosophy to improve the modelling and governance of biodiversity under uncertainty. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and
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considering also the physical interactions between gesture and vocal production movements (e.g., breathing and articulation). The project looks at co-singing gesturing practices in three different vocal
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practices. MishMash researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems and educational strategies, and address AI’s ethical, cultural, legal, and societal
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one or more of the following: data curation, digital signal processing, music information retrieval, audio source-separation, audio analysis, statistical modeling, machine learning, and advanced
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of MishMash is to create, explore, and reflect on AI for, through, and in creative practices. MishMash researchers will investigate AI’s impact on creative processes, develop innovative CoCreative AI systems
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-singing gesturing practices in three different vocal performance traditions: beatboxing, European art song, and karnatak vocal music from South India. The candidate is not expected to have previous
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. The project develops process-explicit, hierarchical models that capture key ecological dynamics, integrate diverse and incomplete data sources, and account for uncertainty in ways that are relevant to real