PhD Position in AI for Metabolism -80%
Universität Zürich
Contattare
Implementation Science in Health Care
PhD Position in AI for Metabolism 80 %
Start of employment 01.04.2025 or by agreement
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.
What we offer
Our employees benefit from a wide range of attractive offers. More
What we offer
Work-Life Balance
- Flexible working models (such as part-time positions, mobile working, job-sharing)
- Childcare at the kihz foundation of UZH and ETH
More Learning and Development
- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich
More Food
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution
More Healthcare
- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower
More Discounts
- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations
More Conditions of Employment
- Policies of the UZH
- Most UZH staff are employed according to public law
More International Services
- Support for people from outside Switzerland
More Campuses
- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg
More
Location
Implementation Science in Health Care
Universitätstrasse 84, 8006 Zürich, Switzerland
Further information
Questions about the job
Janna HastingsProfessor Contact Form
Contact question to: Janna Hastings
Your Name *Your Mail Address *Your question *I accept the privacy policySend Thank you for your message. We will get
back to you shortly. Working at UZH
The 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!
More → https://www.uzh.ch/cmsssl/en/explore/work.html
Please apply via our job portal www.jobs.uzh.ch.
Working at UZH
The 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! More
PhD Position in AI for Metabolism 80 %
Start of employment 01.04.2025 or by agreement
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.
What we offer
Our employees benefit from a wide range of attractive offers. More
What we offer
Work-Life Balance
- Flexible working models (such as part-time positions, mobile working, job-sharing)
- Childcare at the kihz foundation of UZH and ETH
More Learning and Development
- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich
More Food
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution
More Healthcare
- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower
More Discounts
- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations
More Conditions of Employment
- Policies of the UZH
- Most UZH staff are employed according to public law
More International Services
- Support for people from outside Switzerland
More Campuses
- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg
More
Location
Implementation Science in Health Care
Universitätstrasse 84, 8006 Zürich, Switzerland
Further information
Questions about the job
Janna HastingsProfessor Contact Form
Contact question to: Janna Hastings
Your Name *Your Mail Address *Your question *I accept the privacy policySend Thank you for your message. We will get
back to you shortly. Working at UZH
The 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!
More → https://www.uzh.ch/cmsssl/en/explore/work.html
Please apply via our job portal www.jobs.uzh.ch.
Working at UZH
The 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! More