Respiratory Health ML Research Associate (Speech & Audio)

Acoustics; Sheffield; Presencial; GBP 38.000 - 52.000; Jornada completa

Descripción de la vacante

The University of Sheffield invites applications for a Research Associate to work on the LungSight project within the School of Computer Science. You will lead machine-learning research on a large acoustic foundation model for respiratory health using real-world speech, breathing and cough data.

Collaborating with teams across multiple UK universities and clinical partners, you will curate datasets, develop and evaluate models, and push towards robust, generalisable results with open,

Formación

• PhD or equivalent research experience required.
• Strong practical experience in machine learning or deep learning.
• Experience in speech, audio or acoustic signal processing is essential.
• Knowledge of self-supervised learning, foundation models or Transformer-based architectures is relevant.
• Experience in multimodal AI, healthcare or biomedical applications, or secure analysis of sensitive data would be advantageous.

Responsabilidades

• Curate and analyse respiratory audio datasets.
• Develop, fine-tune and evaluate acoustic models.
• Investigate confounding factors, background noise and demographic bias.
• Collaborate with PDRA teams across universities on multi-modal research.
• Publish high-quality research and develop open, reproducible software.
• Engage with clinicians and end users to inform modelling.

Conocimientos

Machine learning

Deep learning

Speech processing

Audio processing

Self-supervised learning

Transformer architectures

Multimodal AI

Healthcare applications

Secure data analysis

Educación

PhD or equivalent research experience

Descripción del empleo

The University of Sheffield invites applications for a Research Associate to work on the LungSight project within the School of Computer Science. You will lead machine-learning research on a large acoustic foundation model for respiratory health using real-world speech, breathing and cough data.

Collaborating with teams across multiple UK universities and clinical partners, you will curate datasets, develop and evaluate models, and push towards robust, generalisable results with open,