Project Title: Efficacy of AI Chatbots in Promoting Mental Wellbeing among University Students in the UAE: A Randomized Controlled Trial Responsibilities: • Collect and process large datasets (e.g., Reddit, PAN-12) relevant to child maltreatment detection. • Implement and evaluate state-of-the-art Large Language Models (GPT-4, GPT-3.5, Claude, LLaMA-2, LLaMA-3). • Conduct language profiling to identify early warning signs. • Analyze linguistic and conversational cues related to mental health indicators. • Train participants on safe and effective chatbot usage. • Design, implement, and evaluate interventions, including preliminary and follow-up analyses. • Conduct comparative quantitative analyses of mental health outcomes using metrics such as precision-recall curves, Cohen’s kappa, and sensitivity analysis. • Collaborate on writing and dissemination of findings.

PhD or Master’s in Computer Science, Artificial Intelligence, Data Science, or related field AI RA – Shared Skills & Preferences

As above

• Experience working in interdisciplinary collaboration across AI and psychology • Experience with chatbot development or AI in healthcare, AI model implementation, particularly NLP and LLMs. • Experience with digital mental health tools • Proficiency in programming languages (Python, R) and familiarity with APIs and cloud computing. • Knowledgeable in AI ethics and data security practices • Strong analytical and quantitative research skills. • Publication records or previous contributions to academic manuscripts • Fluent in English; excellent written and oral communication skills (Arabic is a plus)

Cover letter detailing qualifications, experience, and interest in the project; Contact details of two academic or professional referees; Work sample

20/02/2026