Ph.d. Position in A.i. for Healthcare

vor 6 Monaten

Zurich, Schweiz Department of Quantitative Biomedicine, Medical Informatics Vollzeit

Department of Quantitative Biomedicine, Medical Informatics_
**Ph.D. Position in A.I. for healthcare**

**Your responsibilities**: Our goal is to develop state-of-the-art approaches and build best-in-class methods to capitalize on multimodal clinical information for building robust decision support systems powered by (explainable and interpretable) predictive algorithms for guiding patient therapy across all disease stages, the assessment of treatment effects using counterfactual inference and the identification of causal mechanisms driving disease progression (see examples of our latest work [1-8]). Moreover, there are possibilities to expand the research scope towards working with heterogeneous biomedical data.

**Your profile**: Minimum qualifications:

- Master's degree (MSc) in computer science (with emphasis on machine learning), optimization, statistics, applied math or closely related discipline
- Proficient in Python and the scientific computing stack (SciPy, Numpy, Scikit
- learn, pandas)
- Proficient in one of the deep learning frameworks (PyTorch, Tensorflow, or Jax)

Additional (preferred) qualifications:

- Knowledge of probabilistic graphical models (such as Gaussian processes, Neural Process, Bayesian inference or Bayesian NN)
- Knowledge of explainable AI methods (i.e., model explainability and interpretability)
- Knowledge/understanding of Generative ML models (i.e. Diffusion model, VAE, autoregressive language model, GAN, etc.)
- Experience using Linux systems and HPC infrastructure

**What we offer**: We offer an interdisciplinary research environment, the possibility to direct your own research and access to state-of-the-art computational resources infrastructure.
- Access to clinical datasets and medical expertise domain-knowledge (excellent medical doctors and research scientists)
- Ability to make a real and tangible impact in healthcare research
- Solve real-world problems and improve hospital-related processes and workflow
- Stimulating research environment and a place to grow academically and professionally
- Outstanding working conditions at the University of Zurich.

References

**Place of work**: Zurich

**Start of employment**: Employment start date to be mutually agreed.

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