Postdoctoral position on policy evaluation and modelling
2023/09/01
SEGUE Team
We have a 2-year postdoctoral position opening in the group!
Please consider it if you are a social scientist with experience in policy analysis and quantitative methods, as well as a strong interest in working together to build evidence on how to effectively reduce urban economic segregation and its consequences. Please find more relevant information in the job description below and apply by 31 October 2023 on the application platform.
Job description
Economic resources (typically wealth and income) are distributed very unevenly among people. In parallel, people with similar economic levels tend to concentrate spatially, in similar cities, in cities of similar sizes, and in similar neighbourhoods, in which case we call it urban segregation. Economic inequality and urban segregation are considered top priority challenges by the United Nations. Tackling them is urgent because economic inequality and urban segregation restrict the ability of the poorest individuals to get by in life, but they also affect life expectancy, social justice and cohesion for everyone.
One way to understand and address urban economic segregation is to model its dynamics, and to run and compare policy scenarios on how to reduce it. Following recent developments in analytical sociology and computational social sciences, it seems that two ways of modelling social processes such as urban economic segregation provide a strong basis for mechanistic and causal explanations: statistical modelling to describe covariations between social phenomena and individual characteristics, and generative modelling (such as agent-based modelling) to represent causal paths through which social phenomena (such as urban economic segregation) emerge from individual interactions.
This postdoctoral position represents an exciting opportunity to combine expertise and interests of policy evaluation with statistical/econometric and agent-based modelling skills on a socially relevant topic. You will be expected to identify a range of typical and existing policies aimed at reducing urban economic segregation or contributing to its reduction as a side-effect, from the neighbourhood scale to the national scale. You will then be expected to use individual, longitudinal, geolocated register data from CBS Netherlands to analyse and compare the impact of different public policies on the reduction of urban economic segregation in the past. You will also be expected to translate the most relevant policies into an existing agent-based model of urban economic segregation in the Netherlands and to analyse and compare their outputs.
This research programme should lead to two areas of innovation. First, you will advance research on urban economic segregation by providing updated policy evaluation analyses using a very valuable source of longitudinal data. In particular, you will compare the impact of policies implemented at different scales on the level of economic segregation in Dutch cities. Second, you will translate these findings into a cutting edge agent-based modelling tool aimed at providing simulation evidence for policy development. Please apply if you think these challenges are exciting opportunities for you to grow as social science researcher with an interest and expertise in policy evaluation.
The successful candidate will be funded by the ERC Starting Grant SEGUE and will work in close collaboration with its members.
Requirements
Applicants must have the following qualifications:
- Completed PhD degree in computation social science, analytical sociology, urban studies, political science, spatial economics, human geography or other relevant fields linked to policy evaluation and spatially orientated quantitative social science;
- Ability to conduct systematic policy evaluation;
- Ability to compare the impact of different public policies empirically using advanced methods of statistics/econometrics;
- Knowledge and experience of programming;
- Interest in multidisciplinarity research on cities and inequalities.
- Willingness to work in a tea;
- Ability to take initiative, be creative;
- Command of verbal and written English (C1/C2).
Nice to have:
- Command of the Dutch language;
- Experience working on urban economic segregation;
- Experience working with agent-based models.
Conditions of employment
Salary and benefits are in accordance with the Collective Labour Agreement for Dutch Universities (based on scale 10: €3,226.00 - €5,090.00). The contract of employment is offered for two years. The position is open for 36-40 hours per week. The TU Delft offers a customisable compensation package, a discount on health insurance and sport memberships, and a monthly work costs contribution. Flexible work schedules can be arranged.
For international applicants, TU Delft has the Coming to Delft Service. This service provides information for new international employees to help you prepare the relocation and to settle in the Netherlands. The Coming to Delft Service offers a Dual Career Programme for partners and they organise events to expand your (social) network.
TU Delft (Delft University of Technology)
Delft University of Technology is built on strong foundations. As creators of the world-famous Dutch waterworks and pioneers in biotech, TU Delft is a top international university combining science, engineering and design. It delivers world class results in education, research and innovation to address challenges in the areas of energy, climate, mobility, health and digital society. For generations, our engineers have proven to be entrepreneurial problem-solvers, both in business and in a social context.
At TU Delft we embrace diversity as one of our core and we actively to be a university where you feel at home and can flourish. We value different perspectives and qualities. We believe this makes our work more innovative, the TU Delft community more vibrant and the world more just. Together, we imagine, invent and create solutions using technology to have a positive impact on a global scale. That is why we invite you to apply. Your application will receive fair consideration.
Challenge. Change. Impact
Faculty of Architecture and the Built Environment
The Faculty of Architecture and the Built Environment has a leading role in education and research worldwide. The driving force behind the faculty’s success is its robust research profile combined with the energy and creativity of its student body and academic community. It is buzzing with energy from early in the morning until late at night, with four thousand people studying, working, designing, conducting research and acquiring and disseminating knowledge. Our faculty has a strong focus on ‘design-oriented research’, which has given it a top position in world rankings.
Staff and students are working to improve the built environment with the help of a broad set of disciplines, including architectural design, urban planning, building technology, social sciences, process management, and geo-information science. The faculty works closely with other faculties, universities, private parties, and the public sector, and has an extensive network in the Netherlands as well as internationally.
Application procedure
Are you interested in this vacancy? Please apply before 31 October 2023 via the application button and upload:
- A detailed CV (including a list of research achievements and publications);
- A short motivation letter addressing your interests and describing how you fit in the advertised position;
- The name and contact details of two references;
- Your graduate transcipts;
- Some proof of English language skills;
- The abstract of your PhD thesis (in English).
Compile these elements into a single pdf file named TUD04337_YourLastname.pdf and upload them on the application platform by 31 October 2023. When applying for this position, please refer to vacancy number TUD04337. Please note that applications will not be processed if all documents required are not compiled into a single pdf document.
Notes:
- We will not process applications sent by email and/or post.
- A pre-Employment screening can be part of the selection procedure.