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.

ETH Zurich is inviting applications for a postdoctoral research position focused on "Language Models for Pediatric Data Analysis" in collaboration with the University Children's Hospital Basel. The successful candidate will join the Medical AI Lab at ETH Zurich (D-BSSE, Basel) and work closely with clinicians, clinical coders, and IT infrastructure teams to develop, validate, and safely deploy large language models (LLMs) for automated coding of pediatric diagnoses from electronic health records (EHRs). The project aims to enhance research capabilities and clinical data usability through advanced machine learning and artificial intelligence techniques. The position is embedded in a vibrant interdisciplinary environment, with access to the ETH AI Center and SwissAI initiative, providing opportunities for collaboration and professional growth. The role involves model development, rigorous validation on new benchmarks, and safe deployment of locally hosted LLMs. Additional responsibilities include publishing research results in top-tier venues and contributing to the group’s engagement with the broader AI and medical informatics communities. Applicants should have a PhD in Computer Science, Medical AI, Medical Informatics, or a closely related field. Required skills include strong programming abilities in Python, experience with modern ML/AI/LLM stacks (such as PyTorch, HuggingFace, Ollama, vllm), and proficiency in German at C1 level or higher for analyzing local patient records. Experience with clinical NLP, retrieval-augmented generation (RAG), vector databases, Docker, GPU-based infrastructure, and medical data coding (ICD-10) is highly desirable. Candidates should demonstrate good computational engineering practices and the ability to work both independently and collaboratively in a diverse team. Effective communication in English and German is essential. The position is fully funded and offers access to state-of-the-art computational resources, including large GPU clusters, and direct clinical collaborations. ETH Zurich is committed to diversity, equality of opportunity, and sustainability, fostering an inclusive and supportive environment for all staff and students. To apply, candidates must submit their application online via the ETH Zurich application portal, including a CV, Bachelor and Master transcripts, a motivation letter, and letters of recommendation (or a list of referees). Applications sent via email or postal services will not be considered. For further information about the research group, visit the provided academic page. Questions regarding the position can be directed to Prof. Michael Moor’s lab email (no applications via email). Keywords: Language Models, Pediatric Data Analysis, Medical AI, Clinical NLP, Electronic Health Records, Machine Learning, Artificial Intelligence, Biomedical Informatics.

ETH Zurich is seeking a highly motivated postdoctoral researcher to join the Medical AI Lab in a collaborative project with the University Children's Hospital Basel. The position focuses on the development, validation, and safe integration of large language models (LLMs) for automated coding of pediatric diagnoses from electronic health records (EHRs). The goal is to enhance research capabilities and clinical data usability in pediatric healthcare settings. The successful candidate will lead research on adapting and developing locally hosted language models for diagnostic coding tasks, including rigorous model validation and safe deployment. The role involves publishing research results in top-tier venues, collaborating closely with clinicians, clinical coders, and hospital IT infrastructure, and contributing to the vibrant AI community at ETH Zurich and SwissAI initiative. Applicants must have a PhD in a relevant field such as Computer Science, Medical AI, or Medical Informatics, with strong programming skills in Python and experience with modern ML/AI/LLM stacks (e.g., PyTorch, HuggingFace, distributed training). Proficiency in German at C1 level or higher is required for analyzing local patient records. Prior experience with LLMs, clinical NLP, RAG, vector databases, and medical data coding (ICD-10) is highly desirable. Familiarity with Docker, server environments, GPU infrastructure, and good computational engineering practices is expected. Candidates should be able to work independently, contribute to team efforts, and communicate effectively in English and German. The position is full-time and fixed-term, based at the Department of Biosystems Science and Engineering (D-BSSE) in Basel. The project offers access to cutting-edge computational resources, including large GPU clusters, and opportunities for clinical collaboration. ETH Zurich is committed to diversity, equality of opportunity, and sustainability, providing an inclusive and supportive environment for all staff and students. To apply, candidates should submit their application through the ETH Zurich online application portal, including a CV, Bachelor and Master transcripts, motivation letter, and letters of recommendation or a list of referees. Applications via email or postal services will not be considered. For further information, candidates may contact Prof. Michael Moor's lab email (no applications via email).