Postes à pourvoir

• PhD / Postdoctoral Position in AI for Mental Health Research 80%

  The Chair of Psychiatry and Psychotherapy at the University of Fribourg is seeking a highly
  motivated PhD candidate or postdoctoral researcher interested in the intersection of artificial
  intelligence, psychology, and mental health.

  
  Research Focus
  People living with a wide range of health conditions share their experiences online and through
  other channels. Together, these reports represent a rich source of experiential knowledge.
  These experiences are valuable not only for other affected individuals, but also for generating
  new scientific hypotheses, improving interventions, and advancing evidence-based healthcare.

  This project aims to develop AI-based methods for extracting actionable insights from large
  collections of patient and client experience reports. These insights will be evaluated for their
  potential to generate new research hypotheses, improve behavioural interventions, and support
  the development of AI-assisted mental health tools.

  Additional projects include AI-based analyses of data from hospital clinical information systems
  (pharmacovigilance) and digital surveys investigating the use of AI in mental health.

  Possible data sources include:

  • Online experience reports (e.g. Reddit and discussion forums)
  • Therapist-provided case material
  • Automatically transcribed interviews and patient narratives
  • Clinical information system data from large hospitals

  Research methods may include:

  • Large Language Models (LLMs) for qualitative analysis and knowledge extraction
  • AI agents for data collection and evaluation
  • Machine learning models trained on structured information extracted from experience reports
  • Development of AI-assisted coaching and psychotherapy tools
  • Data processing, management, and reproducible research workflows

  Your Profile
  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

  What We Offer

  • 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

  Application
  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
  Gregor.Hasler@unifr.ch

  Deadline: End of August 2026.

• OFFRE DE STAGE : Minimum 6 mois

  L’équipe « IC Stoke » cherche un-e étudiant-e motivé-e pour collaborer dans leurs projets de recherche en Suisse.

  L’étudiant aura l’opportunité de travailler dans un cadre international enrichissant. Le projet a pour objectif de développer un nouveau modèle d’accidents vasculaires cérébraux (AVC) subcorticale chez des primates et des technologies cortico-spinal pour la récupération des mouvements du bras et de la main.

  L’étudiant aura pour mission d’aider à la gestion et préparation du setup des entraînements des tâches comportementales, ainsi que de participer aux discussions scientifiques et aux analyses de données.

  Prérequis

  • Connaissances en anglais
  • Connaissance de base en Matlab
  • Attitude positive et pro-active

  Nouvelle connaissances

  • Logiciel: Vicon, Nexus, Matlab
  • Tâches: Kuka Robot, calibration, execution
  • Analyse de données : Tracking, exécution de programme

  Les personnes très intéressées qui répondent partiellement à ces critères seront aussi invitées à se présenter.

  Contact
  Dr. Charles Latchoumane,latchoumane.c@gmail.com

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