Ph.d. Position in Ai for Precision Oncology

vor 1 Woche

Zürich, Schweiz Universität Zürich Vollzeit

**Department of Quantitative Biomedicine**
**Ph.D. Position in AI for Precision Oncology 100 %**: Start of employment will be mutually agreed

**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.
- A cover letter detailing your motivation and fit for this position.
- A detailed CV.
- Academic transcripts.
- Contact details for three references.

**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

**Learning and Development**
- Wide range of continuing education courses of UZH and the Canton of Zurich
- Language Center run jointly with ETH Zurich

**Food**
- Food and drinks at reduced prices in the UZH cafeterias
- Lunch-Check-card with UZH contribution

**Healthcare**
- Special conditions on the Academic Sports Association ASVZ
- Free seasonal flu vaccinations
- Rest and relaxation at the quiet room in the university tower

**Discounts**
- Private traffic: Carsharing, rent a vehicle, parking space
- Digitalization: Hardware, software, mobile phone subscriptions
- Special conditions on hotel reservations

**Conditions of Employment**
- Policies of the UZH
- Most UZH staff are employed according to public law

**International Services**
- Support for people from outside Switzerland

**Campuses**
- Campuses Zurich City, Zurich Irchel, Oerlikon and Schlieren
- Sites Zurich West, Old Botanical Garden, Botanical Garden and Lengg

**Location**:
**Department of Quantitative Biomedicine***:Schmelzbergstrasse 26, 8006 Zürich, Switzerland

**Further information**:
**Questions about the job**:
**Bowen Fan**

**Working at UZH**:

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