ph3Overview /h3 pWe are offering an exciting bPhD position /b at the University of Barcelona within the Artificial Intelligence in Medicine Lab (BCN-AIM, directed by Prof. Karim Lekadir and hosted within the bDepartment of Mathematics and Computer Science. /b The successful candidate will contribute to cutting‑edge research on trustworthy artificial intelligence for youth mental health as part of the Horizon Europe YOUTHreach project. /p h3What We Offer /h3 ul liA PhD position in beautiful Barcelona and its Mediterranean climate. /li liResearch experience within the University of Barcelona, one of the leading universities in Spain and Europe. /li liCutting‑edge research in trustworthy AI for healthcare and mental health within one of the most dynamic AI research groups in Europe, directed by Prof. Karim Lekadir. /li liAn international research environment within a multicultural team representing diverse scientific and cultural backgrounds. /li liOpportunities to collaborate with leading European researchers, clinicians, psychologists, social scientists, and youth organisations through the YOUTHreach consortium. /li liTraining and mentoring in artificial intelligence, trustworthy AI, digital health, and scientific research. /li liOpportunities to attend and present research at international conferences, project meetings, and scientific workshops. /li liSupport for career development, including scientific publishing, networking, and future academic opportunities. /li liFlexible working arrangements, including the possibility of partial remote work. /li /ul h3Responsibilities /h3 ul liDesign and implement machine learning and AI models for the early identification and prediction of mental health risks in young people. /li liDevelop multimodal AI methods integrating clinical, behavioural, environmental,



psychosocial, and other relevant data sources. /li liInvestigate trustworthy AI methodologies, including fairness, explainability, uncertainty estimation, robustness, and generalisability. /li liEvaluate model performance across diverse populations and settings to ensure equitable and reliable outcomes. /li liDevelop interpretable AI approaches to support understanding and responsible use of predictive models in mental health. /li liContribute to the development of monitoring and evaluation frameworks for AI systems throughout their lifecycle. /li liCollaborate with clinicians, psychologists, social scientists, youth representatives, and other stakeholders through co‑creation activities. /li liContribute to scientific publications, conference presentations, project deliverables, and dissemination activities. /li liParticipate actively in the scientific life of the BCN‑AIM Lab and the YOUTHreach consortium. pbThe research project: /b You will join our exposome team, as part of ongoing projects, particularly YouthREACH and others such as Youth‑GEMs, STAGE, HappyMums funded by the European Commission and focusing on prenatal, child, and adolescent mental health. In these projects, we are developing new trustworthy AI solutions for a personalised medicine approach to tailor the care models in the field of mental health diseases. The project will build on a unique set of big data repositories to develop AI‑based predictive models of mental illness trajectories and proof‑of‑concept tools on actionable targets. Should you join our team, you will collaborate with several technical and clinical partners within and outside Europe (e.g. in the Netherlands, United Kingdom, Germany, Spain, Ireland, Estonia, Italy, Croatia, Russia, Australia). /p /li /ul /p #J-18808-Ljbffr

📌 Predoctoral position (Barcelona)
🏢 Bioinformatics Barcelona
📍 Barcelona