Sonika Tyagi

Fully funded BITS-RMIT Joint PhD opportunity in AI for personalised mental health support . The project, Human-AI Collaborative Systems for Continuous Personalised Mental Health Therapy via Multimodal Behavioural Sensing (Project ID: BRJP26100128 ), focuses on using multimodal behavioural data from phones, wearables, speech, and text to build AI systems that support clinicians with timely, personalised, and explainable mental health care. This is a joint PhD between BITS Pilani and RMIT University , with co-supervision across both institutions and access to their research infrastructure. The programme includes a full tuition scholarship from RMIT, highly subsidised fees at BITS, a generous monthly stipend in India and Australia, health cover, return airfare while in Melbourne, and one year of research in Australia. The structure is described as a clear four-year programme with coursework, confirmation, and thesis milestones. Applicants should have a background in computer science , AI , data science , or a related field. Helpful experience includes machine learning , NLP , signal processing , or human-centred computing . The post highlights interest in building safe, trustworthy AI for mental health and human oversight. Applications close on 10 October 2026 for the January 2027 intake . Interested candidates should review the project details and apply using the provided application link, then search for the project ID BRJP26100128 .