Job Description

Job Description

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.
  

Minimum Qualification

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

Preferred Qualification

As above

Expected Skills

• 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)
  

Special Instructions to Applicant

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

Close Date Kindly apply before the closing date.

20/02/2026

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