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Post Summary Doctoral researcher in Descriptive Linguistics for ERC project “Lo-Rig” The School of Linguistic, Speech and Communication Sciences is seeking to recruit a highly motivated and
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(AI)-driven speech and voice analysis present transformative opportunities to enhance emergency call triaging. For instance, identifying specific audio features, such as laboured breathing or vocal
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and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and Language Sciences, Education, Psychology
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team and the School of Education, Communication and Language Sciences, including our Speech and Language Sciences subject area. The postholder should have a PhD in a relevant discipline e.g. Speech and
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, or similar. Organisation and excellent attention to detail. Excellent written and oral communication skills. Ability to work independently and problem solve. Good communication skills to effectively work with
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-efficient LLM following a hardware-software co-design approach that enables real-time computation on resource-constrained devices. Example applications include portable speech understanding and rehabilitation
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analysis. Experience in formulating and solving mathematical optimization problems is an asset. Proficiency in English is required; good comprehension and oral communication skills in German are desirable
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based primarily on: Knowledge and skills relevant to doctoral studies within the research area. The ability to formulate and solve scientific questions. Skills in written and oral communication in English
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) mechanics OR in designing laboratory experiments OR in data-driven analysis methods is an advantage. Excellent written and oral communication skills in English. (French is not required) We offer Opportunity
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based primarily on: 1. Knowledge and skills relevant to doctoral studies within the research area, 2. The ability to formulate and solve scientific questions. 3. Skills in written and oral communication