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Prerequisites: MSc degree in Computer Science, Natural Language Processing, Machine Learning, Artificial Intelligence, Statistics, or related disciplines: Strong technical background and good experience with
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will research and develop machine learning-based technologies for acoustical scene analysis and improvement of the acoustical signal in the context of occupational communication in safety-critical
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. The candidates will also evaluate individualized interventions (e.g. machine learning-based speech enhancement algorithms, hearing aids). EASYLI consists of 5 academic partners and 4 non-academic
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(e.g., machine learning-based speech enhancement algorithms, hearing aids). EASYLI consists of 5 academic partners and 4 non-academic partners representing hearing-aid and communication systems
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. machine learning-based speech enhancement algorithms, hearing aids). EASYLI consists of 5 academic partners and 4 non-academic partners representing hearing-aid and communication systems industries
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Demonstrable experience with clinical pharmaceutical modeling or machine learning Excellent communication skills with researchers and clinicians Familiarity with R, NONMEM or Python Willingness to work GCP
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, and physiological and subjective measures in laboratory and real-life conditions. The candidates will also evaluate individualized interventions (e.g. machine learning-based speech enhancement
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staff position within a Research Infrastructure? No Offer Description PhD position in stress research | Working At VU | Please apply via this link About the project Noise and hearing loss increase