Postdoc in Trustworthy AI

About the job Job portal All vacancies Postdoc in Trustworthy AI Postdoc in Trustworthy AI Department of Computer Science, Faculty of Science, University of Copenhagen We are seeking a highly motivated Postdoctoral Researcher to join our cutting-edge project focused on enhancing the reliability of trustworthy AI methods in mental health risk prediction called TRUSTMIND (https://lundbeckfonden.com/news/120-million-dkk-interdisciplinary-brain-research/melanie-ganz-benjaminsen ). The Postdoctoral Researcher will commence 1 August 2025 or as soon as possible hereafter. Our research This project, led by Melanie Ganz, aims to address critical challenges in the application of AI to mental health diagnostics, particularly in the context of major depressive disorder (MDD). We aim to develop AI algorithms for MDD screening using diverse mental health datasets, ensuring ethical, transparent, and clinically informed implementation. The postdoc’s duties will include research within trustworthy AI as well as teaching. The post may also include performance of other duties. Your job Develop new MDD risk scoring algorithms to illustrate and address these challenges. Develop methods to estimate and mitigate bias in AI-driven mental health diagnostics. Collaborate with experts in mental health to ensure clinically relevant validation schemes. Responsibilities Conduct research on algorithmic fairness and transparency in AI. Analyze the demographic and cultural dependencies affecting mental health diagnostics. Develop and implement methods to mitigate bias in AI algorithms. Collaborate with interdisciplinary teams, including experts in AI and mental health. Publish research findings in high-impact journals and present at conferences. Join us in advancing the field of trustworthy AI in mental health and making a meaningful impact on healthcare diagnostics! Essential Experience And Skills You have a PhD in PhD in Computer Science, Data Science, Statistics, or a related field. Strong background in AI, machine learning, and statistical modeling. Excellent programming skills (e.g., Python, R), especially have practical programming experience with machine learning models in python. Be ambitious and wish to make a difference in how AI is used in society. Excellent verbal and written communication skills. Ability to work independently and collaboratively within a team. Preferred Qualifications Experience with explainable AI (XAI) and algorithmic fairness Experience in healthcare AI or mental health research. Knowledge of biostatistics or the Danish language is a plus.