Post-Doc position in Statistics with a focus on probabilistic graphical models and causal inference

Country: Switzerland;

City: Basel

Vacancy added: 29.07.2019

Employer: University of Basel

Resumes due: 28.08.2019

 

A post-doc is available in the newly established group of Prof. Dr. Giusi Moffa at the Department of Mathematics and Computer Science, University of Basel.

 

Your position

The focus of the group will be on probabilistic graphical models and causal inference. Current research focuses on both computational and inferential aspects. In particular we plan to develop novel algorithms for structure learning of Directed Acyclic Graphs (DAGs) in the context of mixed data, as well as to handle non-linear relationships. From an inferential and interpretation perspective, we are working on the Bayesian estimation of putative intervention effects from causal DAGs. Applications include clinical research, epidemiology, cancer genomics and precision medicine.

 

Your profile

  • PhD in Statistics or a closely related field
  • A solid knowledge of statistical theory and methods
  • Strong computational and programming skills
  • Experience with statistical software (ideally R)
  • Team spirit as well as the ability to work independently
  • Fluent in English with good writing skills

 

We offer you

The position is initially offered for one-year, with the possibility of extension for up to another 18 months. Starting date is as soon as possible upon agreement.

 

Application / Contact

For further information please contact Prof. Dr. Giusi Moffa (giusi.moffa@unibas.ch).

 
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