Post-Doc position in Statistics with a focus on probabilistic graphical models and causal inference
- Employer
- Global Academy Jobs
- Location
- Switzerland
- Closing date
- Aug 28, 2019
View more
- Sector
- Science, Computer Science and IT, Computer Science, Chemistry, Chemical Engineering, Mathematics and Statistics
- Hours
- Full Time
- Organization Type
- University and College
- Jobseeker Type
- Academic (e.g. 'Lecturer')
You need to sign in or create an account to save a job.
Job Details
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
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 ).
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 ).
Company
Global Academy Jobs works with over 250 universities worldwide to promote academic mobility and international research collaboration. Global problems need international solutions. Our jobs board and emails reach the academics and researchers who can help.
"The globalisation of higher education continues apace, driving in turn the ongoing development of the global knowledge economy, striving for solutions to the world’s problems and educating a next generation of leaders and contributors."
Company info
You need to sign in or create an account to save a job.
Get job alerts
Create a job alert and receive personalized job recommendations straight to your inbox.
Create alert