Ph.D. Position in A.I. for healthcare, Zürich

vor 1 Tag


Zürich, Schweiz TN Switzerland Vollzeit
Client:

University of Zurich

Location:Job Category:

Job search engine

Job Reference:

92ebc5c44e45

Job Views:

11

Posted:

21.01.2025

Expiry Date:

07.03.2025

Job Description:

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. Moreover, there are possibilities to expand the research scope towards working with heterogeneous biomedical data.

Your profile

Minimum qualifications:

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

Additional (preferred) qualifications:

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

What we offer

  1. Access to clinical datasets and medical expertise domain-knowledge (excellent medical doctors and research scientists)
  2. Ability to make a real and tangible impact in healthcare research
  3. Solve real-world problems and improve hospital-related processes and workflow
  4. Stimulating research environment and a place to grow academically and professionally
  5. Outstanding working conditions at the University of Zurich.

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