Statistical Inference Methods for Selection Bias, with Applications to Inclusive and Sustainable Well-being Measurement
Posted on: 19/03/2026
Deadline: 15/04/2026
Scientific-Disciplinary Group
13/STAT-01 - Statistics
Description
The project aims to develop methodologies for integrating data from heterogeneous sources, including non-probability sources, in order to leverage innovative, timely, and cost-effective data sources and mitigate the limitations of traditional sample surveys. The proposed methodologies will be applied across various socio-economic fields, with a specific focus on the multidimensional measurement of well-being.
Compensation
22,500 Euro
Job posting website
https://www.unifi.it/it/ateneo/lavora-con-noi/reclutamento-bandi-di-concorso
Number of positions
1
Maximum duration
36.0
Funding body
Università degli Studi di Firenze
How to apply
Other
Selection process
Click to expand
The selection is carried out by comparative evaluation. The evaluation of qualifications may be supplemented by a public interview, useful for ascertaining the aptitude for searching for candidates.
The committee has at its disposal 100 points, of which 60 are attributable to the qualifications, publications, and curriculum of the candidate, and up to a maximum of 40 points to be attributed to the oral test aimed at ascertaining the suitability for carrying out the research activity, which is the subject of the selection.
View the original posting on the MUR website: Go to MUR website