Multi-source data and non-probability samples

Italian Ministry of Education, University and Research; Italia; On-site; EUR 35,000 - 45,000; Full time

Job summary

Sapienza University of Rome, Department of Statistics, invites applications for a postdoctoral researcher position in statistics. The project focuses on estimators under non-standard sampling conditions, with an emphasis on asymptotic properties and simulation-based validation.

Engagement includes empirical work on poverty indicators where data availability allows. The role requires strong theoretical background and hands-on simulation expertise, with a workload spanning theoretical development

Qualifications

• Advanced theoretical skills in statistics.
• Strong expertise in simulation methods.

Responsibilities

• Conduct theoretical research on estimators and their properties.
• Develop and analyze estimators' asymptotic properties.
• Run simulation studies to assess sampling error and method performance.
• Apply findings to poverty indicators in empirical studies.

Skills

Theoretical statistics

Simulation methods

Education

PhD in Statistics

Tools

R

Python

Job description

Organisation/Company Sapienza Università di Roma - Dipartimento di Scienze Statistiche Research Field Mathematics » Statistics Researcher Profile Recognised Researcher (R2) Leading Researcher (R4) First Stage Researcher (R1) Established Researcher (R3) Application Deadline 9 Nov 2026 - 23:59 (UTC) Country Italy Type of Contract To be defined Job Status Not Applicable Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

The statistical literature investigates estimators based on non-probability samples under a set of highly restrictive “standard” conditions, which are rarely met in real-world applications. The project aims to develop new estimators and new methods for assessing sampling error when these standard conditions do not hold.

The postdoctoral researcher’s work will involve both theoretical research, focusing on the properties—particularly the asymptotic properties—of the proposed estimators, and simulation-based investigations. The position therefore requires both advanced theoretical skills and strong expertise in simulation methods.

Subject to data availability, empirical applications will also be developed, with a particular focus on the study of poverty using deprivation indicators.

• Italy

Eligibility of fellows: country/ies of residence:

• EUROPE

Eligibility of fellows: nationality/ies: