Ph.D. Position in AI for Precision Oncology -100%
Universität Zürich
Contattare
Department of Quantitative Biomedicine
Ph.D. Position in AI for Precision Oncology 100 %
Start of employment will be mutually agreed
The Krauthammer lab (at the University of Zurich) and the Wicki Lab (at the University Hospital of Zurich) are seeking
a motivated PhD candidate to work on AI-driven research at the intersection of precision oncology and data science ,
with a particular focus on leveraging multi-modal clinical data to support personalized cancer treatment decisions.
Your responsibilities
The primary goal of this position is to develop state-of-the-art machine learning approaches to enhance personalised
decision-making in oncology care in the following aspects:
- Developing predictive models to forecast treatment outcomes and side effects based on retrospective observational
clinical data.
- Implementing counterfactual inference and causal machine learning methods to identify optimal treatments and
evaluate treatment biases.
- Incorporating explainable AI tools (e.g., SHAP values) and uncertainty quantification techniques (e.g., conformal
prediction) to enhance the interpretability and reliability of predictions.
- Collaborating closely with oncologists and data scientists to align AI tools with clinical workflows and real-world
needs.
You also have the possibilities to expand the research scope to other innovative projects in AI for healthcare and
clinical data science.
Your profile
Minimum qualifications:
- Master's degree (MSc) in computer science, machine learning, statistics, applied mathematics, or a related
discipline.
- Proficiency in Python and core scientific computing libraries (e.g., NumPy, SciPy, Scikit-learn, pandas).
- Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
- Strong foundational knowledge of machine learning and predictive modeling techniques.
Preferred qualifications:
- Knowledge of longitudinal data analysis, time-series modeling, or causal inference methods.
- Experience with explainable AI techniques for model interpretability.
- Familiarity with multi-modal data integration (e.g., clinical, genetic, proteomics).
- Proficiency in Linux systems, Docker, and high-performance computing (HPC) environments.
Information on your application
Send your application including the following documents:
- A cover letter detailing your motivation and fit for this position.
- A detailed CV.
- Academic transcripts.
- Contact details for three references.
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
Department of Quantitative Biomedicine
Schmelzbergstrasse 26, 8006 Zürich, Switzerland
Further information
Questions about the job
Bowen Fan Contact Form
Contact question to: Bowen Fan
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
Ph.D. Position in AI for Precision Oncology 100 %
Start of employment will be mutually agreed
The Krauthammer lab (at the University of Zurich) and the Wicki Lab (at the University Hospital of Zurich) are seeking
a motivated PhD candidate to work on AI-driven research at the intersection of precision oncology and data science ,
with a particular focus on leveraging multi-modal clinical data to support personalized cancer treatment decisions.
Your responsibilities
The primary goal of this position is to develop state-of-the-art machine learning approaches to enhance personalised
decision-making in oncology care in the following aspects:
- Developing predictive models to forecast treatment outcomes and side effects based on retrospective observational
clinical data.
- Implementing counterfactual inference and causal machine learning methods to identify optimal treatments and
evaluate treatment biases.
- Incorporating explainable AI tools (e.g., SHAP values) and uncertainty quantification techniques (e.g., conformal
prediction) to enhance the interpretability and reliability of predictions.
- Collaborating closely with oncologists and data scientists to align AI tools with clinical workflows and real-world
needs.
You also have the possibilities to expand the research scope to other innovative projects in AI for healthcare and
clinical data science.
Your profile
Minimum qualifications:
- Master's degree (MSc) in computer science, machine learning, statistics, applied mathematics, or a related
discipline.
- Proficiency in Python and core scientific computing libraries (e.g., NumPy, SciPy, Scikit-learn, pandas).
- Experience with at least one deep learning framework (e.g., PyTorch, TensorFlow, or JAX).
- Strong foundational knowledge of machine learning and predictive modeling techniques.
Preferred qualifications:
- Knowledge of longitudinal data analysis, time-series modeling, or causal inference methods.
- Experience with explainable AI techniques for model interpretability.
- Familiarity with multi-modal data integration (e.g., clinical, genetic, proteomics).
- Proficiency in Linux systems, Docker, and high-performance computing (HPC) environments.
Information on your application
Send your application including the following documents:
- A cover letter detailing your motivation and fit for this position.
- A detailed CV.
- Academic transcripts.
- Contact details for three references.
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
Department of Quantitative Biomedicine
Schmelzbergstrasse 26, 8006 Zürich, Switzerland
Further information
Questions about the job
Bowen Fan Contact Form
Contact question to: Bowen Fan
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