Research Associate – Mental Health AI

• De‑identification of mental health speech transcripts
• Design and extract text features for modelling ultra‑high‑risk outcomes
• Design and improve existing multimodal machine learning frameworks for predicting ultra‑high‑risk outcomes
• Implement implementation science research—including assistance in recruitment, administration of surveys, conducting AI enactment scenarios, and analysis of data
• Take care of the lab’s computing infrastructure—including GPU‑enabled units and HPC server
• Manuscript and grant preparation for all research pertaining to mental health NLP and behavioural work, and support grant administration, co‑writing, and liaison with grant offices and administrative bodies
• Research protocol development—including LLM‑prompt workflows, deep learning training and optimisation processes, data transformation and feature engineering...