Fully Funded PhD Position in Medical Reasoning and Machine Learning at ETH Zurich
A fully funded PhD position is available in the group of Assistant Professor Michael Moor at ETH Zurich, Department of Biosystems Science and Engineering (D-BSSE), located in Basel, Switzerland. The doctoral student will work on cutting-edge research in medical reasoning, leveraging machine learning and artificial intelligence methodologies. The position is part of the EU-funded Marie-Curie project "MLCARE," offering a unique opportunity to contribute to interdisciplinary research at the intersection of computer science, medical science, and life sciences.
The group is embedded in the vibrant life science hub of Basel and is actively involved with the ETH AI Center and SwissAI projects. State-of-the-art GPU clusters and computational resources are available to support research activities. The successful candidate will join a dynamic and international research environment, collaborating with leading experts in AI and medical informatics.
Applicants should have a strong background in computer science, machine learning, artificial intelligence, or related fields. Experience with medical reasoning, life sciences, or high-performance computing is a plus. Candidates must fulfill ETH Zurich's doctoral admission requirements, which typically include an excellent academic record, a relevant degree (usually a master's), and proficiency in English. The ability to work in interdisciplinary teams and a high level of motivation are essential.
The position is fully funded through the Marie-Curie program, covering salary and research expenses according to EU and ETH Zurich standards. The application process is managed through the ETH Zurich online portal, and candidates are encouraged to apply early as the position may close once filled. For more information on the application process, refer to the ETH Zurich FAQ page.
Keywords: machine learning, medical reasoning, artificial intelligence, life sciences, GPU computing, Marie-Curie, AI Center, SwissAI, doctoral student, medical informatics.