A postdoc position is available in Statistics with a focus on probabilistic graphical models and causal inference within the newly established group of Prof. Dr. Giusi Moffa at the Department of Mathematics and Computer Science, University of Basel.
About the position:
- The focus of the group will be on probabilistic graphical models and causal inference. Current research focuses on both computational and inferential aspects.
- Plan is 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.
Requirements:
- Applicant must include 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)
- Applicant must possess fluency in English with good writing skills
Duration: initially for one-year; with the possibility of extension for up to another 18 months.
Starting date: as soon as possible upon agreement.
Applications:
Application to be sent via email to Prof. Dr. Giusi Moffa (giusi.moffa@unibas.ch) including CV, including academic records and publications, together with a cover letter and the names and e-mail addresses of two referees.
| —————–Quick Overview————- | |
| Organization | University of Basel |
| Country | Switzerland |
| Fellowship Level | Postdoctoral |
| Subject areas | Computer Science, Mathematics |
| Fellowship amount | Varies |
| Eligibility | Open to all nationalities |
| Deadline | Rolling |
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