Dear Colleagues, 

A PhD position is available under the supervision 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. The thesis project may develop in different directions depending on the inclination of the candidate. One option is to focus on computational methods for structure learning of Directed Acyclic Graphs (DAGs), e.g. in the context of mixed data, or non-linear relationships. Another option is to focus on inferential aspects and interpretation, and tackle the problem of Bayesian estimation of putative intervention effects. Applications include clinical research, epidemiology, cancer genomics and precision medicine.

Your profile

  • MSc in Statistics or a closely related field
  • A solid knowledge of statistical theory and methods
  • Good computational skills
  • Experience with statistical software (ideally R)
  • Fluent in English with good writing skills

We offer you

The position will be funded for 4 years.
Starting date is as soon as possible upon agreement.

Application / Contact
For further information please contact Prof. Dr. Giusi Moffa (giusi.moffa@unibas.ch), and if you are interested, please send your CV, including academic records, together with a cover letter and the names and e-mail addresses of two referees.

Applications will be evaluated on a rolling basis starting from September 1st 2019.

 

-- 

Felix Emeka Anyiam

 

Research Officer & Data Analyst/Scientist

Centre for Health and Development

University of Port Harcourt (UNIPORT)

Top Floor, Medical Library Building

University of Port Harcourt Teaching Hospital (UPTH), Port Harcourt

River State, Nigeria.

 ORCID ID: http://orcid.org/0000-0003-2774-7406

 Skype ID: @felix.emeka.anyiam

tel: +234 (0) 806 499 5462                                                    

email: chd@uniport.edu.ng

http://www.uniport.edu.ng/centres/170-centre-for-health-and-development-chd.html

 I don't mind not knowing.  It doesn't scare me.  - Richard Feynman

To consult the statistician after an experiment is finished is often merely to ask him to conduct a post mortem examination. He can perhaps say what the experiment died of. -Ronald A. Fisher.

 

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