Fondazione Eni Enrico Mattei (FEEM) is looking for a qualified and motivated junior researcher to fill a position in the field of statistical and econometric modelling of urban sprawl and land use changes. The candidate will join the team working in “Society and sustainability” (SAS), a research program aimed at deepening the knowledge on the topic of societal changes needed to enhance the climate change mitigation and adaptation capacity. The research aims at understanding the socio-economic determinants and the consequences for the environment of urban spatial expansion and land use transformations. The candidate will also be involved in other research of the SAS area, especially those related to the economic valuation of ecosystem services.
The activities and tasks the candidate will be involved in belong to three main ongoing projects, of which two of them are already running, and one is expected to start in April 2017 operatively. The first running project explores the interactions among the different dimensions of urban sprawl, which are the spatial expansion of the urbanised area, the decline in population and employment density and the increase in territorial fragmentation, in the EU large and medium-size functional urban areas. The second running project aims at developing a statistical model to explain how the demographic and economic development in combination with climate change affect urbanisation and in turn the environmental quality of cities and the health of citizens. The third project, to be started and to which the candidate is expected to contribute to the largest extent, is a set-up of a spatially explicit probabilistic model of land use change working at a high-resolution spatial scale.
FEEM is a leading research institute on sustainable development and offers an invaluable research environment and an interdisciplinary workplace, with diverse skills and international staff. FEEM has strong ties to a worldwide network of research institutions engaged in environmental research and provide excellent opportunities to focus on research, and disseminate results in international conferences and stakeholder’s events.
The selected applicant will be based in Milan (Italy) and will work alongside experienced researchers to collect the data useful for the empirical analysis; develop statistical and econometric models for the objectives of the research he/she is involved in; publish the results in peer-reviewed international journals. The candidate will participate in conferences and workshops and is expected to contribute to dissemination activities by also writing short articles and blog posts.
The job assignment is expected to begin in April 2017. The contract is for 12 months and can be subject to renewal. Gross salary is competitive and will be based on qualification and experience.
Applicants should have a sufficient theoretical background and proven experience in data management, estimation of econometric models for cross-section and panel data, and be familiar with non-linear (Logit, Probit, Tobit) econometric models. An MSc in Economics (Quantitative track) or Statistics is compulsory. A PhD is not a required title, although it is highly valued. Applications from students wishing to start their PhD, or to apply for one, in a related field during the period are welcome. Proficiency (C1) in English is mandatory, and knowledge of Italian is valued positively.
The ideal candidate:
· has previous knowledge at the postgraduate level of topics related to urban and environmental economics;
· feels comfortable with daily working with empirical economics, including data manipulation and model estimation;
· has intermediate knowledge of STATA and good command of the R language, including basic programming skills;
· is familiar with GIS software;
· canconduct research independently.
How to apply
Applicants can submit their application and detailed curriculum vitae here. Please mention ref: SAS-LAND.03.2017 in the application.
Deadline for applications
FEEM will begin considering candidates immediately and will continue until the position is filled. Please submit your application at your earliest convenience. Applications received after April 15, 2017 are not guaranteed full consideration.
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