PhD Position in AI for Metabolism 80 %
Start of employment 01.04.2025 or by agreementThe 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
- 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.What we offer
What we offer
Further information
Questions about the job
Janna Hastings ProfessorThe University of Zurich, Switzerland's largest university, offers a range of attractive positions in various subject areas and professional fields. With around 10,000 employees and currently 12 professional apprenticeship streams the University offers an inspiring working environment on cutting-edge research and top-class education. Put your talent and skills to work with us. Find out more about UZH as an employer!
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