PhD Student in Responsible AI for Mental Health Risk Prediction

Job summary

The position involves conducting research on responsible AI applications in mental health, specifically focusing on risk prediction models for major depressive disorder (MDD). The candidate will develop and stress-test these models using registry data, emphasizing their robustness, fairness, and transparency.

Qualifications

• A two-year master's degree (120 ECTS points) or equivalent academic level.

Responsibilities

• Implement mental health risk prediction models based on registry data.
• Develop responsible AI tools to assess model strengths and weaknesses.
• Create methods to evaluate the robustness of prediction models and auditing tools for uncertainty, transparency, and bias.
• Collaborate with an interdisciplinary team of researchers in machine learning, epidemiology, ethics, and law.
• Write and present scientific papers at conferences and journals.
• Serve as a teaching assistant for four 5 ECTS modules.

Skills

• Practical experience in developing machine learning models and responsible AI tools.
• Methodological skills in probabilistic and explainable machine learning.

Education

• A master's degree or equivalent in a relevant field.

Tools

• Machine learning frameworks and responsible AI auditing tools.