PhD / Postdoctoral Position in AI for Mental Health Research

Particularité

The position is available immediately or at a mutually agreed start date. For inquiries or to submit your application, please send your complete application package (CV, publication list, motivation letter, certificates, and the names and email addresses of three referees) to: Prof. Dr. med. Gregor Hasler

Domaine d'activité

• A highly interdisciplinary research environment combining AI and clinical psychology
• Close collaboration with leading clinicians, AI researchers, computer scientists, and an innovative mental health startup
• Opportunity to translate scientific discoveries into real-world clinical applications
• Exposure to both academic research and entrepreneurial innovation
• Development of novel AI methods for psychotherapy research
• Access to clinical and research infrastructure at the University of Fribourg
• Co-supervision by Prof. Dr. Gregor Hasler (psychiatry, psychology, statistical methods) and Prof. Dr. Philippe Cudré-Mauroux (computer science)
• Collaboration with an AI/mental health startup
• Competitive salary according to University of Fribourg regulations
• Support for conference participation, scientific publications, and career development

Exigences

Required:

• Master's degree (PhD applicants) or PhD (postdoctoral applicants) in computer science, psychology, neuroscience, medicine, data science, or a related field
• Strong interest in mental health research
• Knowledge of statistics and research methodology
• Programming skills (Python preferred)
• Ability to work independently and collaboratively in an interdisciplinary team
• Language: English (German/French optional)

Highly desirable:

• Experience with machine learning or AI systems
• Experience with LLMs and AI agents
• Interest in causal inference, prediction models, and personalized interventions

Exigences linguistiques

autre: English

Date d'entrée en fonction:

immédiate ou date à convenir

Renseignements:
Prof. Dr. med. Gregor Hasler

Date limite de réception des offres:
31.08.2026

Adresse d'envoi: