Principal Investigator: Xavier Vilasís-Cardona
Email: xavier.vilasis@salle.url.edu
Web: www.salle.url.edu
Brief Theme Description:
The early detection of mental health crises or emerging well-being issues is crucial for timely intervention. Prompt action by mental health professionals can significantly mitigate the severity of such episodes, improving outcomes for patients. In this context, artificial intelligence (AI) techniques offer promising tools to detect early signs of mental distress and provide actionable insights for clinicians. This postdoctoral position focuses on leveraging AI to explore multimodal data from social media, such as text, speech, images, and drawings, to identify patterns that may indicate unrest or crisis in individuals. The successful candidate will contribute to advancing the accuracy of AI methods in analysing such data, ensuring they provide reliable and faithful evidence of psychological distress. If you are passionate about developing innovative mental health solutions and applying cutting-edge AI technologies to empower patients and clinicians alike, we invite you to join this exciting research initiative.
Keywords: Mental Health; Natural Language Processing; Image Processing.
