Research fellowship within the NGEU-funded research project

The Department of Economics and Management of the University of Padua is seeking excellent candidates to fill the following academic position:

Research fellowship within the NGEU-funded research project

Advertiser: Department of Economics and Management (dSEA), University of Padua (Italy)
Field(s) of specialization: Econometrics, Economics of Ageing, Policy Evaluation
Position type(s): Research fellowship
Location of job: Department of Economics and Management, University of Padua, Padua (Italy)
Qualifications and Requirements: Eligible candidates must have at least a master degree in Economics, Statistics or related disciplines and documented research experience in the topics of the AGE-IT research project
Job start date: Between 1st November and 1st December 2023, with some flexibility
Job duration: 2 years
Salary and Workload: the annual gross salary is approx € 25.000 (not negotiable). The position is full-time research.
Letters of reference required: no
Application deadline: 31st July 2023, 2.00pm UTC (accepting applications)
Posting end date: 31st July 2023
Interviews: Interviews will be conducted remotely on Zoom.

The Department of Economics and Management of the University of Padova invites applications for a two-year research fellowship starting in the Fall of 2023. Applications by candidates of any nationality are welcome. Knowledge of English is a necessary requisite. The successful candidate will be involved in research activities aimed at estimating the long-run effects of socio-economic and health-care public policies on health and living conditions, using SHARE and SHARELIFE data and contextual information on public interventions across European countries.

For details see the Selection notice available at

Application procedure
Applications should be received by 31st July 2023. The application may only be submitted by completing the online procedure available here from 2:00 pm on June 30, 2023 and by 2.00 pm on July 31, 2023 (CET).

Job Description and Position
The ideal candidate should have an adequate quantitative background. The successful candidate will support (i) data preparation using survey data from the Survey on Health Ageing and Retirement in Europe (SHARE) and retrospective data from SHARELIFE (a special data collation within SHARE), (ii) data collection on contextual information on public policies in Europe, and (iii) data analysis using advanced econometric techniques.