项目介绍

2025年2月25日

The Medical Knowledge and Decision Support Group at the University of Zurich is seeking an enthusiastic PhD candidate to join the MetaboLinkAI project, jointly funded by the Swiss National Science Foundation and the French Agence Nationale de la Recherche. The MetaboLinkAI project is an international collaboration of several universities and research groups that aims to advance metabolomics research by leveraging semantic web technologies to build knowledge graphs gathering enriched massive metabolomics datasets, facilitating data exploration and advanced hypothesis testing, as well as to develop new approaches to integrate AI/ML methods and knowledge graphs into metabolomics research to allow for new insights such as understanding the molecular foundations of life and environmental interactions.

The Lab
The Medical Knowledge and Decision Support group bridges from the development of computational methods to their biomedical applications. We develop knowledge-enhanced approaches to biomedical artificial intelligence and study how AI-based systems can be applied to medical knowledge management and decision support. We have particular expertise in the use of ontologies and knowledge graphs together with machine learning approaches, applied for example to metabolomics data analysis tasks, and in language models and multi-modal models, applied to tasks such as clinical note generation and processing, and evidence synthesis semi-automation. Our domain focus areas include metabolism, behavioural science, oncology and mental health. We are keen open science enthusiasts, and build tools based on open AI models. For more information see our website: https://hastingslab.org/

Your responsibilities

• Developing and applying knowledge-based AI methods to the data-intensive field of metabolomics
• Collaborating closely with the international project team
• Supporting research, teaching, and organisational tasks of the group
• Presenting of research progress in written and oral form

Your profile

Expected

• Master’s degree in computer science, machine learning, statistics, (applied) mathematics, bioinformatics, computational biology, or related field
• Proficiency in Python
• Working understanding of ML/AI methods including Transformers and Graph Neural Networks
• Comfortable working on the command line and on HPC clusters
• Interest in Biology, specifically Metabolism

Desirable

• Deep understanding of ML/AI methods
• Experiences with PyTorch or other deep learning framework
• Experiences with cheminformatics libraries such as RDKit
• Understanding of metabolic pathways

The working language is English, and the main place of work is Zurich.

Information on your application

Please submit a motivation letter, your CV, publication list, diplomas as a single PDF via email by 31 March 2025.